Philosophy Assignment

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Unit 3 Study Questions

Chapter 7

1. Nietzsche announces the death of God in a parable about

a. A madman holding a lantern

b. A lonely prophet walking the earth

c. Jesus

d. A desert hermit living in a cave

2. The madman’s proclamation that “God is dead” refers to the fact that

a. He has found incontrovertible proof that God never really existed in the first place

b. God has temporarily withdrawn Himself from the world, only to return at the end of time

c. People have ceased to believe in God

d. None of the above

3. The madman finds the death of God to be so terrifying because

a. All of his contemporaries are grief-stricken at the sudden disappearance of God, and do not know how to recover from this frightening piece of news

b. Without God human life is devoid of any intrinsic purpose, value, and meaning

c. Both A and B

d. None of the above

4. Shakespeare’s Macbeth says that life “is a tale told by an idiot, full of sound and fury, signifying nothing.” This would be an example of

a. Theism

b. Virtue ethics

c. Hedonism

d. Nihilism

5. “Life itself is essentially appropriation, injury, conquest of the strange and weak, suppression, severity…and at the least…exploitation.” Nietzsche here refers explicitly to

(HINT: see page 86, 89, paragraph 3!)

a. The Will to Power

b. Slave Morality

c. Judeo-Christianity

d. The German people

6. Each of the following is a characteristic of an aristocratic society EXCEPT:

(HINT: see pages 88-90!)

a. They come into being through conquest

b. Master Morality

c. They are the embodiment of will-to-power

d. They champion full equality among all members of society

7. Master morality is to slave morality as

(HINT: see pages 86-88, 90-91!)

a. nobility is to baseness

b. higher is to lower

c. affirmation of life is to negation of life

d. All of the above

8. The “good” of master morality is to the “good” of slave morality as

a. Noble is to despicable

b. Mediocrity is to excellence

c. Despicable is to noble

d. Rare is to exceptional

9. The “evil” of slave morality is to the “bad” of master morality as

a. cowardly is to heroic

b. lover is to beloved

c. self-glorification is to resentment

d. mediocrity is to excellence

10. The “good” of master morality is to the “evil” of slave morality as

a. resentment is to honor

b. hero is to coward

c. base is to noble

d. They are one and the same thing

11. According to Nietzsche, the modern liberal democratic ideal

a. encourages slavishness

b. is the only honorable value to be found in Judeo-Christianity

c. is embraced by master morality

d. is shunned by slave morality

12. Nihilism is the belief that

a. God is Good

b. Nothingness is an illusion of the mind

c. If we remain ignorant we will annihilate ourselves

d. The world is utterly meaningless

13. According to Nietzsche, the slavish individual expresses _________ for the noble types.

a. admiration

b. resentment

c. a feeling of kinship

d. affection

14. According to Nietzsche, slave morality originates from

(HINT: see page 87, 91!)

a. a feeling of superiority

b. the need for slaves to survive

c. economic inequality

d. faith in a higher power

15. According to Nietzsche, master morality originates from

a. the aristocratic man’s spontaneous self-glorification

b. resentment toward other aristocratic men

c. the need to combat low self-esteem

d. a will to the denial of life

Chapter 8

1. Ortega can best be described as

a. a nihilist

b. an elitist

c. a feminist

d. an egalitarian

2. According to Ortega, the masses have begun to insinuate themselves in each of the following areas EXCEPT:

a. politics

b. education

c. the priesthood

d. the arts

3. According to Ortega, the phenomenon of the “masses” as a concentrated group gaining power and influence in all sectors of society

a. is nothing new

b. is consistent with the rise of fascism in Spain

c. is a recent phenomenon

d. is a cause for great celebration

4. Each of the following is true about the mass man EXCEPT:

a. he is the “average” man

b. he belongs exclusively to the working class

c. he is comfortable in his mediocrity

d. he is not particularly ambitious

5. Each of the following is true about the “select individual” EXCEPT:

a. he snobbishly believes that he is simply superior to everyone else

b. he sets very high standards for himself

c. he assigns himself great tasks

d. his presence is not limited to any particular socio-economic stratum of society

6. The select individual is to the mass man

a. as higher is to lower

b. as rare is to common

c. as noble is to vulgar

d. all of the above

7. Before the advent of the “crowd phenomenon,” artistic, political, and intellectual enterprises were directed by

(HINT: see page 101, paragraph 10!)

a. anybody who wanted to take part

b. only those who were select individuals

c. only those who were qualified or at least claimed to be qualified

d. all of the above

8. According to Ortega, hyperdemocracy

a. is a threat to liberal democracy

b. is the mass man’s way of imposing itself on the rest of society

c. is the mass man’s way of stifling human excellence

d. all of the above

9. Each of the following is a characteristic of the “select individual” EXCEPT:

a. judges himself against a high standard.

b. complacency

c. qualified for intellectual, aesthetic, and political endeavors

d. runs the risk of being crushed under the weight of the mass

Chapter 9

1. Sartre’s phrase “existence precedes essence” means that

(HINT: see pages 107-108!)

a. God created man as a “blank slate” on which he can make his own essence.

b. Man created God in his own image

c. Man first has an essence, and then he confers on himself existence

d. Man exists in a godless universe, without any determinate nature or essence: he creates his own essence through his actions.

2. According to Sartre, when you choose how to live, you are choosing

(HINT: see pages 108-110!)

a. for your loved ones

b. for all mankind

c. for nobody but oneself

d. none of the above

3. In Sartre’s view, the existentialist finds the fact that God does not exist

(HINT: see pages 110-111!)

a. deeply distressing

b. liberating

c. insignificant

d. absurd to the point of being comical

4. Sartre argues that when he speaks of anguish, he is referring to

a. the feeling of having been abandoned by God

b. the fact that we are not responsible for our actions

c. man’s feeling of total and deep responsibility for all mankind

d. all of the above

5. According to Sartre, each human being is the sum total of his/her

a. hopes

b. actions

c. beliefs

d. ambitions

6. Sartre argues that when he speaks of forlornness, he means that

a. We are not responsible for our actions

b. We can never truly understand human nature

c. God does not exist, so we must face all of the consequences of this

d. all of the above.

7. Sartre criticizes certain atheists in the 1880s that wanted to create an atheist ethics on the grounds that

a. without God, there can be no a priori standard of good to which everyone is bound to conform.

b. there can be no salvation without embracing our Lord and Savior Jesus Christ

c. atheists are generally very immoral people

d. none of the above

8. Sartre argues that when he speaks of despair, he means that

(HINT: see pages 112-113!)

a. when one chooses, one chooses for oneself only

b. one should reckon only with what depends on our will

c. life is a tale told by an idiot

d. all of the above

9. According to Sartre, the value of one’s feeling is determined by

(HINT: see page 111!)

a. the way one feels

b. what one believes

c. the way one acts

d. all of the above

10. Each of the following is true for Sartre EXCEPT:

a. You are the sum total of your hopes and dreams

b. Responsibility for one’s actions involves being responsible for everyone

c. Man’s situation is characterized by anguish, forlornness, and despair

d. We are “condemned to be free”

 
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Freud’s Psychoanalytic Theory Application

Freud’s Psychoanalytic Theory Application

 

Read the “Case Study Analysis.”

Write a 1,000-1,500-word analysis of the case study using Freud’s psychoanalytic theory approach. Include the following in your analysis.

  1. What will be the goals of counseling and what intervention strategies are used to accomplish those goals?
  2. Describe the process of treatment using this theory. This should include a description of the length of treatment, the role of the counselor, and the experience of the client as they work from beginning to termination of therapy.
  3. How does this theory address the social and cultural needs of the client? (Cite specific research findings)
  4. Describe valuable insights of coming to understand the client’s unconscious world as the counseling process continues.
  5. How can a counselor implement Freudian processes in counseling without undue risk to the client or the counseling relationship?

Include at least six scholarly references beyond the textbook in your analysis.

Each response to the assignment prompts should be addressed under a separate heading in your paper. Refer to “APA Headings and Seriation,” located on the Purdue Owl website for help in formatting the headings.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric.

 

 

 

CNL-500 Case Study Analysis

Client Name: Ana

Client age: 24

Gender: F

Presenting Problem

Client states, “I recently lost my job and feel hopeless. I can’t sleep and don’t feel like eating.” Client also reports she has lost 10 pounds during the last two months. Client states that she is a solo parent and is worried about becoming homeless. Client states, “I worry all the time. I can’t get my brain to shut off. My husband is in the military and currently serving in an overseas combat zone for the next eight months. I worry about him all the time.”

Behavioral Observations

Client arrived 30 minutes early for her appointment. Client stated that she had never been in counseling before. Client depressed and anxious, as evidenced by shaking hands and tearfulness as she filled out her intake paperwork. Ana made little eye contact as she described what brought her into treatment. Client speech was halting. Client affect flat. Client appeared willing to commit to eight sessions of treatment authorized by her insurance company.

General Background

Client is a 24-year-old first-generation immigrant from Guatemala. Ana was furloughed from her job as a loan officer at local bank three months ago. Client reported that she was from a wealthy family in Guatemala, but does not want to ask for help. Client speaks fluent Spanish.

Education

Client has completed one year of college with a major in business. Client states that she left college after her son was born as she found it difficult to manage a baby, college, and a full-time job.

Family Background

Client is the middle of four siblings. Client has two older brothers and one younger sister. Client’s parents have been married for 27 years. Client states that she has had a “close” relationship with her family, although she states that her father is a “heavy drinker.” Client states that all her brothers and sisters have graduated from college and have professional careers. Client states that her father is a banker and her mother is an educator. Client states that she has not seen her family for 1 year. Client has a 1-year-old son and states that she is sometimes “overwhelmed” by raising him alone.

Major Stressors

· Lack of family and supportive friends

· Financial problems due to job loss

· Husband deployed overseas

· Raising a baby by herself

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Biopsychology Biopsychology homewotk help

Biopsychology Biopsychology

Hunger, Eating, and Health Why Do Many People Eat Too Much?

12.1 Digestion, Energy Storage, and Energy Utilization

12.2 Theories of Hunger and Eating: Set Points versus Positive Incentives

12.3 Factors That Determine What, When, and How Much We Eat

12.4 Physiological Research on Hunger and Satiety

12.5 Body Weight Regulation: Set Points versus Settling Points

12.6 Human Obesity: Causes, Mechanisms, and Treatments

12.7 Anorexia and Bulimia Nervosa

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source of serious personal and health problems. Most eating-related health problems in industrialized

nations are associated with eating too much—the average American consumes 3,800 calories per day, about twice the average daily requirement (see Kopelman, 2000). For

example, it is estimated that 65% of the adult U.S. popu- lation is either overweight or clinically obese, qualifying

this problem for epidemic status (see Abelson & Kennedy, 2004; Arnold, 2009). The resulting financial and personal costs are huge. Each year in the United States, about $100 billion is spent treating obesity-related disorders (see Ol- shansky et al., 2005). Moreover, each year, an estimated 300,000 U.S. citizens die from disorders caused by their excessive eating (e.g., diabetes, hypertension, cardiovas- cular diseases, and some cancers). Although the United States is the trend-setter when it comes to overeating and obesity, many other countries are not far behind (Sofsian, 2007). Ironically, as overeating and obesity have reached epidemic proportions, there has been a related increase in disorders associated with eating too little (see Polivy & Herman, 2002). For example, almost 3% of American adolescents currently suffer from anorexia or bulimia, which can be life-threatening in extreme cases.

The massive increases in obesity and other eating- related disorders that have occurred over the last few decades in many countries stand in direct opposition to most people’s thinking about hunger and eating. Many people—and I assume that this includes you—believe that hunger and eating are normally triggered when the

body’s energy resources fall below a prescribed optimal level, or set point. They ap- preciate that many factors in-

fluence hunger and eating, but they assume that the hunger and eating system has evolved to supply the body with just the right amount of energy.

This chapter explores the incompatibility of the set- point assumption with the current epidemic of eating disorders. If we all have hunger and eating systems

whose primary function is to maintain energy resources at optimal levels, then eating disorders should be rare. The fact that they are so prevalent suggests that hunger and eating are regulated in some other way. This chapter will repeatedly challenge you to think in new ways about issues that impact your health and longevity and will provide new insights of great personal relevance—I guarantee it.

Before you move on to the body of the chapter, I would like you to pause to consider a case study. What would a severely amnesic patient do if offered a meal

shortly after finishing one? If his hunger and eating were controlled by energy set points, he would refuse the sec- ond meal. Did he?

The Case of the Man Who Forgot Not to Eat

R.H. was a 48-year-old male whose progress in graduate school was interrupted by the development of severe am- nesia for long-term explicit memory. His amnesia was similar in pattern and severity to that of H.M., whom you met in Chapter 11, and an MRI examination revealed bilateral damage to the medial temporal lobes.

The meals offered to R.H. were selected on the basis of interviews with him about the foods he liked: veal parmi- giana (about 750 calories) plus all the apple juice he wanted. On one occasion, he was offered a second meal about 15 minutes after he had eaten the first, and he ate it. When offered a third meal 15 minutes later, he ate that, too. When offered a fourth meal he rejected it, claiming that his “stomach was a little tight.”

Then, a few minutes later, R.H. announced that he was going out for a good walk and a meal. When asked what he was going to eat, his answer was “veal parmigiana.”

Clearly, R.H.’s hunger (i.e., motivation to eat) did not result from an energy deficit (Rozin et al., 1998). Other cases like that of R.H. have been reported by Higgs and colleagues (2008).

12.1 Digestion, Energy Storage, and Energy Utilization

The primary purpose of hunger is to increase the proba- bility of eating, and the primary purpose of eating is to supply the body with the molecular building blocks and energy it needs to survive and function (see Blackburn, 2001). This section provides the foundation for our con- sideration of hunger and eating by providing a brief overview of the processes by which food is digested, stored, and converted to energy.

Digestion The gastrointestinal tract and the process of digestion are illustrated in Figure 12.1 on page 300. Digestion is the gastrointestinal process of breaking down food and ab- sorbing its constituents into the body. In order to appre- ciate the basics of digestion, it is useful to consider the body without its protuberances, as a simple living tube

29912.1 ■ Digestion, Energy Storage, and Energy Utilization

Thinking CreativelyThinking Creatively

Clinical Clinical Implications Implications

Eating is a behavior that is of interest to virtuallyeveryone. We all do it, and most of us derive greatpleasure from it. But for many of us, it becomes a

Watch You Are What You Eat www.mypsychlab.com

Watch Thinking about Hunger www.mypsychlab.com

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(a simple sugar that is the breakdown product of complex carbohydrates, that is, starches and sugars).

The body uses energy continuously, but its consump- tion is intermittent; therefore, it must store energy for use in the intervals between meals. Energy is stored in three forms: fats, glycogen, and proteins. Most of the body’s energy reserves are stored as fats, relatively little as glycogen and proteins (see Figure 12.2). Thus, changes in the body weights of adult humans are largely a conse- quence of changes in the amount of their stored body fat.

Why is fat the body’s preferred way of storing energy? Glycogen, which is largely stored in the liver and muscles, might be expected to be the body’s preferred mode of energy storage because it is so readily converted to glucose—the body’s main directly utilizable source of energy. But there

300 Chapter 12 ■ Hunger, Eating, and Health

Chewing breaks up food and mixes it with saliva.1 Saliva lubricates food and begins its digestion.2 Swallowing moves food and drink down the esophagus to the stomach.3 The primary function of the stomach is to serve as a storage reservoir. The

hydrochloric acid in the stomach breaks food down into small particles, and pepsin begins the process of breaking down protein molecules to amino acids.

4

The stomach gradually empties its contents through the pyloric sphincter into the

duodenum, the upper portion of the intestine, where most of the absorption takes place.

5

Digestive enzymes in the duodenum, many of them from the gall bladder and pancreas,

break down protein molecules to amino acids, and starch and complex sugar molecules to simple sugars. Simple sugars and amino acids readily pass through the duodenum wall into the bloodstream and are carried to the liver.

6

Fats are emulsified (broken into droplets) by bile, which is manufactured in the liver and

stored in the gall bladder until it is released into the duodenum. Emulsified fat cannot pass through the duodenum wall and is carried by small ducts in the duodenum wall into the lymphatic system.

7

Most of the remaining water and electrolytes are absorbed from the waste in

the large intestine, and the remainder is ejected from the anus.

8

Steps in Digestion

Parotid gland

Salivary glands

Esophagus

Liver

Stomach

Gall bladder

Pyloric sphincter

Pancreas

Duodenum

Large intestine or colon

Small intestine

Anus

with a hole at each end. To supply itself with energy and other nutrients, the tube puts food into one of its two holes—the one with teeth—and passes the food along its internal canal so that the food can be broken down and partially absorbed from the canal into the body. The leftovers are jettisoned from the other end. Although this is not a particularly appetizing description of eating, it does serve to illustrate that, strictly speaking, food has not been consumed until it has been digested.

Energy Storage in the Body As a consequence of digestion, energy is delivered to the body in three forms: (1) lipids (fats), (2) amino acids (the breakdown products of proteins), and (3) glucose

FIGURE 12.1 The gastrointestinal tract and the process of digestion.

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are two reasons why fat, rather than glycogen, is the pri- mary mode of energy storage: One is that a gram of fat can store almost twice as much energy as a gram of glyco- gen; the other is that glycogen, unlike fat, attracts and holds substantial quantities of water. Consequently, if all your fat calories were stored as glycogen, you would likely weigh well over 275 kilograms (600 pounds).

Three Phases of Energy Metabolism There are three phases of energy metabolism (the chem- ical changes by which energy is made available for an

organism’s use): the cephalic phase, the absorptive phase, and the fasting phase. The cephalic phase is the preparatory phase; it often begins with the sight, smell, or even just the thought of food, and it ends when the food starts to be absorbed into the bloodstream. The absorptive phase is the period during which the energy absorbed into the bloodstream from the meal is meet- ing the body’s immediate energy needs. The fasting phase is the period during which all of the unstored en- ergy from the previous meal has been used and the body is withdrawing energy from its reserves to meet its immediate energy requirements; it ends with the begin- ning of the next cephalic phase. During periods of rapid weight gain, people often go directly from one absorp- tive phase into the next cephalic phase, without experi- encing an intervening fasting phase.

The flow of energy during the three phases of energy metabolism is controlled by two pancreatic hormones: insulin and glucagon. During the cephalic and absorptive phases, the pancreas releases a great deal of insulin into the bloodstream and very little glucagon. Insulin does three things: (1) It promotes the use of glucose as the pri- mary source of energy by the body. (2) It promotes the conversion of bloodborne fuels to forms that can be stored: glucose to glycogen and fat, and amino acids to proteins. (3) It promotes the storage of glycogen in liver and muscle, fat in adipose tissue, and proteins in muscle. In short, the function of insulin during the cephalic phase is to lower the levels of bloodborne fuels, primarily glucose, in anticipation of the impending influx; and its function during the absorptive phase is to minimize the increasing levels of bloodborne fuels by utilizing and storing them.

In contrast to the cephalic and absorptive phases, the fasting phase is characterized by high blood levels of glucagon and low levels of insulin. Without high levels of insulin, glucose has difficulty entering most body cells; thus, glucose stops being the body’s primary fuel. In effect, this saves the body’s glucose for the brain, because insulin is not required for glucose to enter most brain cells. The low levels of insulin also promote the conversion of glycogen and protein to glucose. (The conversion of protein to glucose is called gluconeogenesis.)

On the other hand, the high levels of fasting-phase glucagon promote the release of free fatty acids from adi- pose tissue and their use as the body’s primary fuel. The high glucagon levels also stimulate the conversion of free fatty acids to ketones, which are used by muscles as a source of energy during the fasting phase. After a pro- longed period without food, however, the brain also starts to use ketones, thus further conserving the body’s re- sources of glucose.

Figure 12.3 summarizes the major metabolic events as- sociated with the three phases of energy metabolism.

30112.1 ■ Digestion, Energy Storage, and Energy Utilization

Fat in adipose tissue (85%)

Protein in muscle (14.5%)

Glycogen in muscle and liver (0.5%)

FIGURE 12.2 Distribution of stored energy in an average person.

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12.2 Theories of Hunger and Eating: Set Points versus Positive Incentives

One of the main difficulties I have in teaching the funda- mentals of hunger, eating, and body weight regulation is the set-point assumption. Although it dominates most people’s thinking about hunger and eating (Assanand, Pinel, & Lehman, 1998a, 1998b), whether they realize it or not, it is inconsistent with the bulk of the evidence. What exactly is the set-point assumption?

Set-Point Assumption Most people attribute hunger (the motivation to eat) to the presence of an energy deficit, and they view eating as the means by which the energy resources of the body are returned to their optimal level—that is, to the energy set point. Figure 12.4 summarizes this set-point assumption. After a meal (a bout of eating), a person’s energy resources are assumed to be near their set point and to decline there- after as the body uses energy to fuel its physiological processes. When the level of the body’s energy resources falls far enough below the set point, a person becomes motivated by hunger to initiate another meal. The meal continues, ac- cording to the set-point assumption, until the energy level

302 Chapter 12 ■ Hunger, Eating, and Health

Cephalic Phase Preparatory phase, which is initiated by the sight, smell, or expectation of food

Absorptive Phase Nutrients from a meal meeting the body’s immediate energy requirements, with the excess being stored

Fasting Phase Energy being withdrawn from stores to meet the body’s immediate needs

Promotes • Utilization of blood glucose as a source

of energy • Conversion of excess glucose to

glycogen and fat • Conversion of amino acids to proteins • Storage of glycogen in liver and muscle,

fat in adipose tissue, and protein in muscle

Inhibits • Conversion of glycogen, fat, and protein

into directly utilizable fuels (glucose, free fatty acids, and ketones)

Promotes • Conversion of fats to free fatty acids

and the utilization of free fatty acids as a source of energy

• Conversion of glycogen to glucose, free fatty acids to ketones, and protein to glucose

Inhibits • Utilization of glucose by the body but

not by the brain • Conversion of glucose to glycogen and

fat, and amino acids to protein • Storage of fat in adipose tissue

Glucagon levels low

Insulin levels high

Glucagon levels high

Insulin levels low

FIGURE 12.3 The major events associated with the three phases of energy metabolism: the cephalic, absorptive, and fasting phases.

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returns to its set point and the person feels satiated (no longer hungry).

Set-point models assume that hunger and eating work in much the same way as a thermostat- regulated heating system in a cool climate. The heater increases the house temperature until it reaches its set point (the thermo- stat setting). The heater then shuts off, and the temperature of the house gradually de- clines until it becomes low enough to turn the heater back on. All set-point systems have three components: a set- point mechanism, a detector mechanism, and an effector mechanism. The set-point mechanism defines the set point, the detector mechanism detects deviations from the set point, and the effector mechanism acts to eliminate the deviations. For example, the set-point, detector, and ef- fector mechanisms of a heating system are the thermo- stat, the thermometer, and the heater, respectively.

All set-point systems are negative feedback systems— systems in which feedback from changes in one direction elicit compensatory effects in the opposite direction. Negative feedback systems are common in mammals be- cause they act to maintain homeostasis—a stable internal environment—which is critical for mammals’ survival (see Wenning, 1999). Set-point systems combine negative feedback with a set point to keep an internal environment fixed at the prescribed point. Set-point systems seemed necessary when the adult human brain was assumed to be immutable: Because the brain couldn’t change, energy re- sources had to be highly regulated. However, we now know that the adult human brain is plastic and capable of considerable adaptation. Thus, there is no longer a logical imperative for the set-point regulation of eating. Through- out this chapter, you will need to put aside your precon- ceptions and base your thinking about hunger and eating entirely on the empirical evidence.

Glucostatic and Lipostatic Set-Point Theories of Hunger and Eating In the 1940s and 1950s, researchers working under the as- sumption that eating is regulated by some type of set- point system speculated about the nature of the regulation. Several researchers suggested that eating is

regulated by a system that is designed to maintain a blood glucose set point—the idea being that we become hungry when our blood glucose levels drop significantly below their set point and that we become satiated when eating returns our blood glucose levels to their set point. The various versions of this theory are collectively referred to as the glucostatic theory. It seemed to make good sense that the main purpose of eating is to defend a blood glu- cose set point, because glucose is the brain’s primary fuel.

The lipostatic theory is another set-point theory that was proposed in various forms in the 1940s and 1950s. According to this theory, every person has a set point for body fat, and deviations from this set point produce com- pensatory adjustments in the level of eating that return levels of body fat to their set point. The most frequently cited support for the theory is the fact that the body weights of adults stay relatively constant.

The glucostatic and lipostatic theories were viewed as complementary, not mutually exclusive. The glucostatic theory was thought to account for meal initiation and ter- mination, whereas the lipostatic theory was thought to account for long-term regulation. Thus, the dominant view in the 1950s was that eating is regulated by the inter- action between two set-point systems: a short-term glu- costatic system and a long-term lipostatic system. The simplicity of these 1950s theories is appealing. Remark- ably, they are still being presented as the latest word in some textbooks; perhaps you have encountered them.

Problems with Set-Point Theories of Hunger and Eating Set-point theories of hunger and eating have several seri- ous weaknesses (see de Castro & Plunkett, 2002). You have already learned one fact that undermines these the- ories: There is an epidemic of obesity and overweight,

30312.2 ■ Theories of Hunger and Eating: Set Points versus Positive Incentives

Hours 1 2 3 4 5 6 7 8 9 10 11

H yp

o th

et ic

al E

n er

g y

R es

er ve

s Hunger

Meal

FIGURE 12.4 The energy set-point view that is the basis of many people’s thinking about hunger and eating.

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which should not occur if eating is regulated by a set point. Let’s look at three more major weaknesses of set-

point theories of hunger and eating.

● First, set-point theories of hunger and eating are in- consistent with basic eating-related evolutionary pressures as we understand them. The major eating- related problem faced by our ancestors was the incon-

sistency and unpredictability of the food supply. Thus, in order to survive, it was im- portant for them to eat large quantities of

good food when it was available so that calories could be banked in the form of body fat. Any ancestor— human or otherwise—that stopped feeling hungry as soon as immediate energy needs were met would not have survived the first hard winter or prolonged drought. For any warm-blooded species to survive under natural conditions, it needs a hunger and eating system that prevents energy deficits, rather than one that merely responds to them once they have devel- oped. From this perspective, it is difficult to imagine how a set-point hunger and feeding system could have evolved in mammals (see Pinel, Assanand, & Lehman, 2000).

● Second, major predictions of the set-point theories of hunger and eating have not been confirmed. Early studies seemed to support the set-point theories by showing that large reductions in body fat, produced by starvation, or large reductions in blood glucose, pro- duced by insulin injections, induce increases in eating in laboratory animals. The problem is that reductions in blood glucose of the magnitude needed to reliably induce eating rarely occur naturally. Indeed, as you have already learned in this chapter, about 65% of U.S. adults have a significant excess of fat deposits when they begin a meal. Conversely, efforts to reduce meal size by having subjects consume a high-calorie drink before eating have been largely unsuccessful; indeed, beliefs about the caloric content of a premeal drink often influence the size of a subsequent meal more than does its actual caloric content (see Lowe, 1993).

● Third, set-point theories of hunger and eating are de- ficient because they fail to recognize the major influ- ences on hunger and eating of such important factors as taste, learning, and social influences. To convince yourself of the importance of these factors, pause for a minute and imagine the sight, smell, and taste of your favorite food. Perhaps it is a succulent morsel of lobster meat covered with melted garlic butter, a piece of chocolate cheesecake, or a plate of sizzling home- made french fries. Are you starting to feel a bit hun- gry? If the homemade french fries—my personal weakness—were sitting in front of you right now, wouldn’t you reach out and have one, or maybe the whole plateful? Have you not on occasion felt discomfort

after a large main course, only to polish off a substan- tial dessert? The usual positive answers to these ques- tions lead unavoidably to the conclusion that hunger and eating are not rigidly controlled by deviations from energy set points.

Positive-Incentive Perspective The inability of set-point theories to account for the basic phenomena of eating and hunger led to the development of an alternative theoretical perspective (see Berridge, 2004). The central assertion of this perspective, com- monly referred to as positive-incentive theory, is that humans and other animals are not normally driven to eat by internal energy deficits but are drawn to eat by the an- ticipated pleasure of eating—the anticipated pleasure of a behavior is called its positive-incentive value (see Bolles, 1980; Booth, 1981; Collier, 1980; Rolls, 1981; Toates, 1981). There are several different positive-incentive theo- ries, and I refer generally to all of them as the positive- incentive perspective.

The major tenet of the positive-incentive perspective on eating is that eating is controlled in much the same way as sexual behavior: We engage in sexual behavior not because we have an internal deficit, but because we have evolved to crave it. The evolutionary pressures of unexpected food shortages have shaped us and all other warm-blooded an- imals, who need a continuous supply of energy to main- tain their body temperatures, to take advantage of good food when it is present and eat it. According to the positive- incentive perspective, it is the presence of good food, or the anticipation of it, that normally makes us hungry, not an energy deficit.

According to the positive-incentive perspective, the de- gree of hunger you feel at any particular time depends on the interaction of all the factors that influence the positive- incentive value of eating (see Palmiter, 2007). These in- clude the following: the flavor of the food you are likely to consume, what you have learned about the effects of this food either from eating it previously or from other peo- ple, the amount of time since you last ate, the type and quantity of food in your gut, whether or not other people are present and eating, whether or not your blood glucose levels are within the normal range. This partial list illus- trates one strength of the positive-incentive perspective. Unlike set-point theories, positive-incentive theories do not single out one factor as the major determinant of hunger and ignore the others. Instead, they acknowledge that many factors interact to determine a person’s hunger at any time, and they suggest that this interaction occurs through the influence of these various factors on the positive-incentive value of eating (see Cabanac, 1971).

In this section, you learned that most people think about hunger and eating in terms of energy set points and

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were introduced to an alternative way of thinking—the positive-incentive perspective. Which way is correct? If you are like most people, you have an attachment to familiar ways of thinking and a resistance to new ones. Try to put this tendency aside and base your views about this impor- tant issue entirely on the evidence.

You have already learned about some of the major weaknesses of strict set-point theories of hunger and eat- ing. The next section describes some of the things that biopsychological research has taught us about hunger and eating. As you progress through the section, notice the su- periority of the positive-incentive theories over set-point theories in accounting for the basic facts.

12.3 Factors That Determine What, When, and How Much We Eat

This section describes major factors that commonly deter- mine what we eat, when we eat, and how much we eat. No- tice that energy deficits are not included among these factors. Although major energy deficits clearly increase hunger and eating, they are not a common factor in the eating behavior of people like us, who live in food-replete societies. Although you may believe that your body is short of energy just before a meal, it is not. This miscon- ception is one that is addressed in this section. Also, notice how research on nonhumans has played an important role in furthering understanding of human eating.

Factors That Determine What We Eat Certain tastes have a high positive-incentive value for vir- tually all members of a species. For example, most hu- mans have a special fondness for sweet, fatty, and salty tastes. This species-typical pattern of human taste prefer- ences is adaptive because in nature sweet and fatty tastes

are typically characteristic of high-energy foods that are rich in vitamins and miner- als, and salty tastes are characteristic of

sodium-rich foods. In contrast, bitter tastes, for which most humans have an aversion, are often associated with toxins. Superimposed on our species-typical taste prefer- ences and aversions, each of us has the ability to learn specific taste preferences and aversions (see Rozin & Shulkin, 1990).

Learned Taste Preferences and Aversions Animals learn to prefer tastes that are followed by an infusion of calories, and they learn to avoid tastes that are followed by illness (e.g., Baker & Booth, 1989; Lucas & Sclafani, 1989; Sclafani, 1990). In addition, humans and other animals learn what to eat from their conspecifics. For example,

rats learn to prefer flavors that they experience in mother’s milk and those that they smell on the breath of other rats (see Galef, 1995, 1996; Galef, Whishkin, & Bielavska, 1997). Similarly, in humans, many food prefer- ences are culturally specific—for example, in some cul- tures, various nontoxic insects are considered to be a delicacy. Galef and Wright (1995) have shown that rats reared in groups, rather than in isolation, are more likely to learn to eat a healthy diet.

Learning to Eat Vitamins and Minerals How do an- imals select a diet that provides all of the vitamins and minerals they need? To answer this question, researchers have studied how dietary deficiencies influence diet selec- tion. Two patterns of results have emerged: one for sodium and one for the other essential vitamins and min- erals. When an animal is deficient in sodium, it develops an immediate and compelling preference for the taste of sodium salt (see Rowland, 1990). In contrast, an animal that is deficient in some vitamin or mineral other than sodium must learn to consume foods that are rich in the missing nutrient by experiencing their positive effects; this is because vitamins and minerals other than sodium normally have no detectable taste in food. For example, rats maintained on a diet deficient in thiamine (vitamin B1) develop an aversion to the taste of that diet; and if they are offered two new diets, one deficient in thiamine and one rich in thiamine, they often develop a preference for the taste of the thiamine-rich diet over the ensuing days, as it becomes associated with improved health.

If we, like rats, are capable of learning to select diets that are rich in the vitamins and minerals we need, why are dietary deficiencies so prevalent in our society? One reason is that, in order to maximize profits, manufacturers produce foods that have the tastes we prefer but lack many of the nutrients we need to maintain our health. (Even rats prefer chocolate chip cookies to nutritionally complete rat chow.) The second reason is illustrated by the classic study of Harris and associates (1933). When thiamine-deficient rats were offered two new diets, one with thiamine and one without, almost all of them learned to eat the complete diet and avoid the deficient one. However, when they were offered ten new diets, only one of which contained the badly needed thiamine, few developed a preference for the complete diet. The number of different substances, both nutritious and not, con- sumed each day by most people in industrialized societies is immense, and this makes it difficult, if not impossible, for their bodies to learn which foods are beneficial and which are not.

There is not much about nutrition in this chapter: Although it is critically important to eat a nutritious diet, nutrition seems to have little direct effect on our feelings of hunger. However, while I am on the topic, I would like to direct you to a good source of information

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about nutrition that could have a positive effect on your health: Some popular books on nutrition are dan-

gerous, and even governments, inordinately influenced by economic considerations and special-interest groups, often do not provide the best nutritional advice (see Nestle, 2003). For sound research-based advice on nutrition, check out an article by Willett and Stampfer (2003) and the book on which it is based, Eat, Drink, and Be Healthy by Willett, Skerrett, and Giovannucci (2001).

Factors That Influence When We Eat Collier and his colleagues (see Collier, 1986) found that most mammals choose to eat many small meals (snacks)

each day if they have ready access to a continuous supply of food. Only when there are physical costs involved in initiat-

ing meals—for example, having to travel a considerable distance—does an animal opt for a few large meals.

The number of times humans eat each day is influ- enced by cultural norms, work schedules, family routines, personal preferences, wealth, and a variety of other fac- tors. However, in contrast to the usual mammalian pref- erence, most people, particularly those living in family groups, tend to eat a few large meals each day at regular times. Interestingly, each person’s regular mealtimes are the very same times at which that person is likely to feel most hungry; in fact, many people experience attacks of malaise (headache, nausea, and an inability to concen- trate) when they miss a regularly scheduled meal.

Premeal Hunger I am sure that you have experienced attacks of premeal hunger. Subjectively, they seem to pro- vide compelling support for set-point theories. Your body seems to be crying out: “I need more energy. I cannot function without it. Please feed me.” But things are not al- ways the way they seem. Woods has straightened out the confusion (see Woods, 1991; Woods & Ramsay, 2000; Woods & Strubbe, 1994).

According to Woods, the key to understanding hunger is to appreciate that eating meals stresses the body. Before a meal, the body’s energy reserves are in reasonable homeostatic balance; then, as a meal is consumed, there is a homeostasis-disturbing influx of fuels into the bloodstream. The body does what it can to defend its homeostasis. At the first indication that a person will soon be eating—for example, when the usual mealtime approaches—the body enters the cephalic phase and takes steps to soften the impact of the impending homeostasis- disturbing influx by releasing insulin into the blood and thus reducing blood glucose. Woods’s message is that the strong, unpleasant feelings of hunger that you may expe- rience at mealtimes are not cries from your body for food; they are the sensations of your body’s preparations for the expected homeostasis-disturbing meal. Mealtime

hunger is caused by the expectation of food, not by an en- ergy deficit.

As a high school student, I ate lunch at exactly 12:05 every day and was overwhelmed by hunger as the time approached. Now, my eating schedule is different, and I never experience noontime hunger pangs; I now get hungry just before the time at which I usually eat. Have you had a similar experience?

Pavlovian Conditioning of Hunger In a classic series of Pavlovian conditioning experiments on laboratory rats, Weingarten (1983, 1984, 1985) provided strong sup- port for the view that hunger is often caused by the expec- tation of food, not by an energy deficit. During the conditioning phase of one of his experiments, Weingarten presented rats with six meals per day at irregular inter- vals, and he signaled the impending delivery of each meal with a buzzer-and-light conditional stimulus. This condi- tioning procedure was continued for 11 days. Through- out the ensuing test phase of the experiment, the food was continuously available. Despite the fact that the subjects were never deprived during the test phase, the rats started to eat each time the buzzer and light were presented— even if they had recently completed a meal.

Factors That Influence How Much We Eat The motivational state that causes us to stop eating a meal when there is food remaining is satiety. Satiety mecha- nisms play a major role in determining how much we eat.

Satiety Signals As you will learn in the next section of the chapter, food in the gut and glucose entering the blood can induce satiety signals, which inhibit subse- quent consumption. These signals depend on both the volume and the nutritive density (calories per unit vol- ume) of the food.

The effects of nutritive density have been demon- strated in studies in which laboratory rats have been maintained on a single diet. Once a stable baseline of consumption has been estab- lished, the nutritive density of the diet is changed. Some rats learn to adjust the volume of food they consume to keep their caloric intake and body weights relatively stable. However, there are major limits to this adjustment: Rats rarely increase their intake suffi- ciently to maintain their body weights if the nutritive density of their conventional laboratory feed is reduced by more than 50% or if there are major changes in the diet’s palatability.

Sham Eating The study of sham eating indicates that satiety signals from the gut or blood are not necessary to terminate a meal. In sham-eating experiments, food is chewed and swallowed by the subject; but rather than

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passing down the subject’s esophagus into the stomach, it passes out of the body through an implanted tube (see Figure 12.5).

Because sham eating adds no energy to the body, set-point theories predict that all sham-eaten meals should be huge. But this is not the case. Weingarten and Kulikovsky (1989) sham fed rats one of two differently flavored diets: one that the rats had naturally eaten many times before and one that they had never eaten before. The first sham meal of the rats that had previously eaten the diet was the same size as the previously eaten meals of that diet; then, on ensuing days they began to sham eat more and more (see Figure 12.6). In contrast, the rats that were presented with the unfamiliar diet

sham ate large quantities right from the start. Weingarten and Kulikovsky concluded that the amount we eat is in- fluenced largely by our previous experience with the par- ticular food’s physiological effects, not by the immediate effect of the food on the body.

Appetizer Effect and Satiety The next time you at- tend a dinner party, you may experience a major weak- ness of the set-point theory of satiety. If appetizers are served, you will notice that small amounts of food consumed before a meal actually in- crease hunger rather than reducing it. This is the appetizer effect. Presumably, it occurs because the con- sumption of a small amount of food is particularly effec- tive in eliciting cephalic-phase responses.

Serving Size and Satiety Many experiments have shown that the amount of consumption is influenced by serving size (Geier, Rozin, & Doros, 2006). The larger the servings, the more we tend to eat. There is even evidence that we tend to eat more when we eat with larger spoons.

Social Influences and Satiety Feelings of satiety may also depend on whether we are eating alone or with others. Redd and de Castro (1992) found that their sub- jects consumed 60% more when eating with others. Laboratory rats also eat substantially more when fed in groups.

30712.3 ■ Factors That Determine What, When, and How Much We Eat

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FIGURE 12.6 Change in the magnitude of sham eating over repeated sham-eating trials. The rats in one group sham ate the same diet they had eaten before the sham-eating phase; the rats in another group sham ate a diet different from the one they had previously eaten. (Based on Weingarten, 1990.)

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In humans, social factors have also been shown to reduce consumption. Many people eat less than they would like in order to achieve their society’s ideal of slenderness, and others refrain from eating large amounts in front of oth- ers so as not to appear gluttonous. Unfortunately, in our culture, females are influenced by such pressures more than males are, and, as you will learn later in the chapter, some develop serious eating disorders as a result.

Sensory-Specific Satiety The number of different tastes available at each meal has a major effect on meal size. For example, the effect of offering a laboratory rat a varied diet of highly palatable foods—a cafeteria diet—is dramatic. Adults rats that were offered bread and choco- late in addition to their usual laboratory diet increased their average intake of calories by 84%, and after 120 days they had increased their average body weights by 49% (Rogers & Blundell, 1980). The spectacular effects of cafe- teria diets on consumption and body weight clearly run counter to the idea that satiety is rigidly controlled by in- ternal energy set points.

The effect on meal size of cafeteria diets results from the fact that satiety is to a large degree sensory-specific. As you eat one food, the positive-incentive value of all foods de- clines slightly, but the positive-incentive value of that par- ticular food plummets. As a result, you soon become satiated on that food and stop eating it. However, if another food is offered to you, you will often begin eating again.

In one study of sensory-specific satiety (Rolls et al., 1981), human subjects were asked to rate the palatability of eight different foods, and then they ate a meal of one of them. After the meal, they were asked to rate the palata- bility of the eight foods once again, and it was found that their rating of the food they had just eaten had declined substantially more than had their ratings of the other seven foods. Moreover, when the subjects were offered an unexpected second meal, they consumed most of it unless it was the same as the first.

Booth (1981) asked subjects to rate the momentary pleasure produced by the flavor, the smell, the sight, or just the thought of various foods at different times after consuming a large, high-calorie, high-carbohydrate liquid meal. There was an immediate sensory-specific decrease in the palatability of foods of the same or similar flavor as soon as the liquid meal was consumed. This was followed by a general decrease in the palatability of all substances about 30 minutes later. Thus, it appears that signals from taste receptors produce an immediate decline in the positive-incentive value of similar tastes and that signals associated with the postingestive consequences of eating produce a general decrease in the positive-incentive value of all foods.

Rolls (1990) suggested that sensory-specific satiety has two kinds of effects: relatively brief effects that influence the selection of foods within a single meal, and relatively enduring effects that influence the selection of foods from

meal to meal. Some foods seem to be relatively immune to long-lasting sensory-specific satiety; foods such as rice, bread, potatoes, sweets, and green salads can be eaten al- most every day with only a slight decline in their palata- bility (Rolls, 1986).

The phenomenon of sensory-specific satiety has two adaptive consequences. First, it encourages the consump- tion of a varied diet. If there were no sensory-specific sati- ety, a person would tend to eat her or his preferred food and nothing else, and the re- sult would be malnutrition. Second, sensory- specific satiety encourages animals that have access to a variety of foods to eat a lot; an animal that has eaten its fill of one food will often begin eating again if it encoun- ters a different one (Raynor & Epstein, 2001). This en- courages animals to take full advantage of times of abundance, which are all too rare in nature.

This section has introduced you to several important properties of hunger and eating. How many support the set-point assump- tion, and how many are inconsistent with it?

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Are you ready to move on to the discussion of the physiol- ogy of hunger and satiety in the following section? Find out by completing the following sentences with the most appropriate terms. The correct answers are provided at the end of the exercise. Before proceeding, review material related to your incorrect answers and omissions.

1. The primary function of the ______ is to serve as a storage reservoir for undigested food.

2. Most of the absorption of nutrients into the body takes place through the wall of the ______, or upper intestine.

3. The phase of energy metabolism that is triggered by the expectation of food is the ______ phase.

4. During the absorptive phase, the pancreas releases a great deal of ______ into the bloodstream.

5. During the fasting phase, the primary fuels of the body are ______.

6. During the fasting phase, the primary fuel of the brain is ______.

7. The three components of a set-point system are a set-point mechanism, a detector, and an ______.

8. The theory that hunger and satiety are regulated by a blood glucose set point is the ______ theory.

9. Evidence suggests that hunger is greatly influenced by the current ______ value of food.

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10. Most humans have a preference for sweet, fatty, and ______ tastes.

11. There are two mechanisms by which we learn to eat diets containing essential vitamins and minerals: one mechanism for ______ and another mechanism for the rest.

12. Satiety that is specific to the particular foods that produce it is called ______ satiety.

Do the observed reductions in blood glucose before a meal lend support to the glucostatic theory of hunger? I think not, for five reasons:

● It is a simple matter to construct a situation in which drops in blood glucose levels do not precede eating (e.g., Strubbe & Steffens, 1977)—for example, by unex- pectedly serving a food with a high positive-incentive value.

● The usual premeal decreases in blood glucose seem to be a response to the intention to start eating, not the other way round. The premeal decreases in blood glu- cose are typically preceded by increases in blood in- sulin levels, which indicates that the decreases do not reflect gradually declining energy reserves but are actively produced by an increase in blood levels of insulin (see Figure 12.7).

● If an expected meal is not served, blood glucose levels soon return to their previous homeostatic level.

● The glucose levels in the extracellular fluids that sur- round CNS neurons stay relatively constant, even when blood glucose levels drop (see Seeley & Woods, 2003).

● Injections of insulin do not reliably induce eating un- less the injections are sufficiently great to reduce blood glucose levels by 50% (see Rowland, 1981), and large premeal infusions of glucose do not suppress eating (see Geiselman, 1987).

Myth of Hypothalamic Hunger and Satiety Centers In the 1950s, experiments on rats seemed to suggest that eating behavior is controlled by two different re- gions of the hypothalamus: satiety by the ventromedial

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Scan Your Brainanswers: (1) stomach, (2) duodenum, (3) cephalic, (4) insulin, (5) free fatty acids, (6) glucose, (7) effector, (8) glucostatic, (9) positive- incentive, (10) salty, (11) sodium, (12) sensory-specific.

12.4 Physiological Research on Hunger and Satiety

Now that you have been introduced to set-point theories, the positive-incentive perspective, and some basic factors that affect why, when, and how much we eat, this section introduces you to five prominent lines of research on the physiology of hunger and satiety.

Role of Blood Glucose Levels in Hunger and Satiety As I have already explained, efforts to link blood glucose levels to eating have been largely unsuccessful. However, there was a renewed interest in the role of glucose in the regulation of eating in the 1990s, following the develop- ment of methods of continually monitoring blood glucose levels. In the classic experiment of Campfield and Smith (1990), rats were housed individu- ally, with free access to a mixed diet and water, and their blood glucose levels were continually monitored via a chronic intravenous catheter (i.e., a hypodermic needle located in a vein). In this situation, baseline blood glucose levels rarely fluctuated more than 2%. However, about 10 minutes before a meal was initiated, the levels suddenly dropped about 8% (see Figure 12.7).

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hypothalamus (VMH) and feeding by the lateral hypo- thalamus (LH)—see Figure 12.8. This theory turned out to be wrong, but it stimulated several important discoveries.

VMH Satiety Center In 1940, it was discovered that large bilateral electrolytic lesions to the ventromedial hypothala- mus produce hyperphagia (excessive eating) and extreme obesity in rats (Hetherington & Ranson, 1940). This VMH syndrome has two different phases: dynamic and static. The dynamic phase, which begins as soon as the subject regains consciousness after the operation, is characterized by several weeks of grossly excessive eating and rapid weight gain. However, after that, consumption gradually declines to a level that is just sufficient to maintain a stable level of obe- sity; this marks the beginning of the static phase. Figure 12.9 illustrates the weight gain and food intake of an adult rat with bilateral VMH lesions.

The most important feature of the static phase of the VMH syndrome is that the animal maintains its new

body weight. If a rat in the static phase is deprived of food until it has lost a substantial amount of weight, it will re- gain the lost weight once the deprivation ends; conversely, if it is made to gain weight by forced feeding, it will lose the excess weight once the forced feeding is curtailed.

Paradoxically, despite their prodigious levels of con- sumption, VMH-lesioned rats in some ways seem less hungry than unlesioned controls. Although VMH-lesioned rats eat much more than normal rats when palatable food is readily available, they are less willing to work for it (Teitelbaum, 1957) or to consume it if it is slightly un- palatable (Miller, Bailey, & Stevenson, 1950). Weingarten, Chang, and Jarvie (1983) showed that the finicky eating of VMH-lesioned rats is a consequence of their obesity, not a primary effect of their lesion; they are no less likely to consume unpalatable food than are unlesioned rats of equal obesity.

LH Feeding Center In 1951,Anand and Brobeck reported that bilateral electrolytic lesions to the lateral hypothala- mus produce aphagia—a complete cessation of eating. Even rats that were first made hyperphagic by VMH le- sions were rendered aphagic by the addition of LH le- sions. Anand and Brobeck concluded that the lateral region of the hypothalamus is a feeding center. Teitelbaum and Epstein (1962) subsequently discovered two impor- tant features of the LH syndrome. First, they found that the aphagia was accompanied by adipsia—a complete cessa- tion of drinking. Second, they found that LH-lesioned rats partially recover if they are kept alive by tube feeding. First, they begin to eat wet, palatable foods, such as chocolate chip cookies soaked in milk, and eventually they will eat dry food pellets if water is concurrently available.

Reinterpretation of the Effects of VMH and LH Lesions The theory that the VMH is a satiety center crumbled in the face of two lines of evidence. One of these lines showed that the primary role of the hypothalamus is the regulation of energy metabolism, not the regulation of eating. The initial interpretation was that VMH-lesioned animals become obese because they overeat; however, the evidence suggests the converse—that they overeat because they become obese. Bilateral VMH le- sions increase blood insulin levels, which increases lipogenesis (the pro- duction of body fat) and decreases lipolysis (the break- down of body fat to utilizable forms of energy)—see Powley et al. (1980). Both are likely to be the result of the increases in insulin levels that occur following the lesion. Because the calories ingested by VMH-lesioned rats are converted to fat at a high rate, the rats must keep eating to ensure that they have enough calories in their blood to meet their immediate energy requirements (e.g., Hustvedt & Løvø, 1972); they are like misers who run to the bank each time they make a bit of money and deposit it in a sav- ings account from which withdrawals cannot be made.

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The second line of evidence that undermined the theory of a VMH satiety center has shown that many of the effects of VMH lesions are not at- tributable to VMH damage. A large fiber bundle, the ventral noradrener- gic bundle, courses past the VMH and is thus inevitably damaged by large electrolytic VMH lesions; in particu- lar, fibers that project from the nearby paraventricular nuclei of the hypothalamus are damaged (see Figure 12.10). Bilateral lesions of the noradrenergic bundle (e.g., Gold et al., 1977) or the paraventricular nu- clei (Leibowitz, Hammer, & Chang, 1981) produce hyperphagia and obe- sity, just as VMH lesions do.

Most of the evidence against the notion that the LH is a feeding cen-

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Ventromedial hypothalamus

Optic chiasm

ter has come from a thorough analysis of the effects of bi- lateral LH lesions. Early research focused exclusively on the aphagia and adipsia that are produced by LH lesions, but subsequent research has shown that LH lesions pro- duce a wide range of severe motor disturbances and a general lack of responsiveness to sensory input (of which food and drink are but two examples). Consequently, the idea that the LH is a center specifically dedicated to feed- ing no longer warrants serious consideration.

Role of the Gastrointestinal Tract in Satiety One of the most influential early studies of hunger was published by Cannon and Washburn in 1912. It was a perfect collaboration: Cannon had the ideas, and Wash- burn had the ability to swallow a balloon. First, Washburn swallowed an empty balloon tied to the end of a thin tube. Then, Cannon pumped some air into the balloon and connected the end of the tube to a water-filled glass U-tube so that Washburn’s stomach contractions pro- duced a momentary increase in the level of the water at

FIGURE 12.10 Location of the paraventricular nucleus in the rat hypothalamus. Note that the section through the hypothala- mus is slightly different than the one in Figure 12.8.

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the other end of the U-tube. Washburn re- ported a “pang” of hunger each time that a large stomach contraction was recorded (see Figure 12.11).

Cannon and Washburn’s finding led to the theory that hunger is the feeling of contractions caused by an empty stomach, whereas satiety is the feeling of stomach dis- tention. However, support for this theory and interest in the role of the gastroin- testinal tract in hunger and satiety quickly waned with the discovery that human pa- tients whose stomach had been surgically removed and whose esophagus had been hooked up directly to their duodenum (the first segment of the small intestine, which normally carries food away from the stomach) continued to report feelings of hunger and satiety and continued to maintain their normal body weight by eating more meals of smaller size.

In the 1980s, there was a resurgence of interest in the role of the gastrointestinal tract in eating. It was stimulated by a se- ries of experiments that indicated that the gastrointestinal tract is the source of satiety signals. For example, Koopmans (1981) transplanted an extra stomach and length of intes- tine into rats and then joined the major arteries and veins of the implants to the recipients’ circulatory systems (see Figure 12.12). Koopmans found that food injected into the transplanted stomach and kept there by a noose around the pyloric sphincter decreased eating in propor- tion to both its caloric content and volume. Because the transplanted stomach had no functional nerves, the gas- trointestinal satiety signal had to be reaching the brain through the blood. And because nutrients are not ab- sorbed from the stomach, the bloodborne satiety signal could not have been a nutrient. It had to be some chemi- cal or chemicals that were released from the stomach in response to the caloric value and volume of the food— which leads us nicely into the next subsection.

Hunger and Satiety Peptides Soon after the discovery that the stomach and other parts of the gastrointestinal tract release chemical signals to the brain, evidence began to accumulate that these chemicals

were peptides, short chains of amino acids that can func- tion as hormones and neurotransmitters (see Fukuhara et al., 2005). Ingested food interacts with receptors in the gastrointestinal tract and in so doing causes the tract to release peptides into the bloodstream. In 1973, Gibbs, Young, and Smith injected one of these gut peptides, cholecystokinin (CCK), into hungry rats and found that they ate smaller meals. This led to the hypothesis that circulating gut peptides provide the brain with information about the quantity and nature of food in the gastrointestinal tract and that this information plays a role in satiety (see Bad- man & Flier, 2005; Flier, 2006).

There has been considerable support for the hypothesis that peptides can function as satiety signals (see Gao & Horvath, 2007; Ritter, 2004). Several gut peptides have been shown to bind to receptors in the brain, particularly in areas of the hypothalamus involved in energy metabolism, and a dozen or so (e.g., CCK, bombesin, glucagon, alpha- melanocyte-stimulating hormone, and somatostatin) have been reported to reduce food intake (see Batterham et al., 2006; Zhang et al., 2005). These have become known as satiety peptides (peptides that decrease appetite).

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Time in seconds 0 10 20 30 40 50 60

Stomach contractions

Reports of hunger pangs

FIGURE 12.11 The system developed by Cannon and Washburn in 1912 for measuring stomach contractions. They found that large stomach contractions were related to pangs of hunger.

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In studying the appetite-reducing effects of peptides, researchers had to rule out the possibility that these ef- fects are not merely the consequence of illness (see Moran, 2004). Indeed, there is evidence that one pep- tide in particular, CCK, induces illness: CCK adminis- tered to rats after they have eaten an unfamiliar substance induces a conditioned taste aversion for that substance, and CCK induces nausea in human subjects. However, CCK reduces appetite and eating at doses substantially below those that are required to induce taste aversion in rats, and thus it qualifies as a legitimate satiety peptide.

Several hunger peptides (peptides that increase appetite) have also been discovered. These peptides tend to be syn- thesized in the brain, particularly in the hypothalamus. The most widely studied of these are neuropeptide Y, galanin, orexin-A, and ghrelin (e.g., Baird, Gray, & Fischer, 2006; Olszewski, Schiöth & Levine, 2008; Williams et al., 2004).

The discovery of the hunger and satiety peptides has had two major effects on the search for the neural mechanisms of hunger and satiety. First, the sheer number of these hunger and satiety peptides indicates

that the neural system that controls eating likely reacts to many different signals (Nogueiras & Tschöp, 2005; Schwartz & Azzara, 2004), not just to one or two (e.g., not just to glucose and fat). Second, the discovery that many of the hunger and satiety peptides have receptors in the hypothalamus has renewed interest in the role of the hypothalamus in hunger and eating (Gao & Horvath, 2007; Lam, Schwartz, & Rossetti, 2006; Luquet et al., 2005). This interest was further stimulated by the dis- covery that microinjection of gut peptides into some sites in the hypothalamus can have major effects on eat- ing. Still, there is a general acceptance that hypothalamic circuits are only one part of a much larger system (see Berthoud & Morrison, 2008; Cone, 2005).

Serotonin and Satiety The monoaminergic neurotransmitter serotonin is an- other chemical that plays a role in satiety. The initial evi- dence for this role came from a line of research in rats. In these studies, serotonin- produced satiety was found to have three major properties (see Blundell & Halford, 1998):

● It caused the rats to resist the powerful attraction of highly palatable cafeteria diets.

● It reduced the amount of food that was consumed during each meal rather than reducing the number of meals (see Clifton, 2000).

● It was associated with a shift in food preferences away from fatty foods.

This profile of effects suggested that serotonin might be useful in combating obesity in humans. Indeed, serotonin agonists (e.g., fenfluramine, dexfenfluramine, fluoxetine) have been shown to reduce hunger, eating, and body weight under some conditions (see Blundell & Halford, 1998). Later in this chapter, you will learn about the use of serotonin to treat human obesity (see De Vry & Schreiber, 2000).

Prader-Willi Syndrome: Patients with Insatiable Hunger Prader-Willi syndrome could prove critical in the discov- ery of the neural mechanisms of hunger and satiety (Goldstone, 2004). Individuals with Prader-Willi syn- drome, which results from an accident of chromosomal replication, experience insatiable hunger, little or no sati- ety, and an exceptionally slow metabolism. In short, the Prader-Willi patient acts as though he or she is starving. Other common physical and neurological symptoms in- clude weak muscles, small hands and feet, feeding diffi- culties in infancy, tantrums, compulsivity, and skin picking. If untreated, most patients become extremely obese, and they often die in early adulthood from dia- betes, heart disease, or other obesity-related disorders. Some have even died from gorging until their stomachs

31312.4 ■ Physiological Research on Hunger and Satiety

Transplant connected to the recipient’s lower intestine

Recipient’s own gastrointestinal tract

Transplanted stomach and intestine

Food injected here

Strings pulled to tighten noose around pyloric sphincter

FIGURE 12.12 Transplantation of an extra stomach and length of intestine in a rat. Koopmans (1981) im- planted an extra stomach and length of intestine in each of his experimental subjects. He then connected the major blood vessels of the implanted stomachs to the circulatory systems of the recipients. Food injected into the extra stomach and kept there by a noose around the pyloric sphincter decreased eating in pro- portion to its volume and caloric value.

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split open. Fortunately, Miss A. was diagnosed in infancy and received excellent care, which kept her from becom- ing obese (Martin et al., 1998).

Prader-Willi Syndrome: The Case of Miss A.

Miss A. was born with little muscle tone. Because her sucking reflex was so weak, she was tube fed. By the time she was 2 years old, her hypotonia (below-normal muscle tone) had resolved itself, but a number of characteristic deformities and developmental delays began to appear.

At 31/2 years of age, Miss A. suddenly began to display a voracious appetite and quickly gained weight. Fortu- nately, her family maintained her on a low-calorie diet and kept all food locked away.

Miss A. is moderately retarded, and she suffers from psychiatric problems. Her major problem is her tendency to have tantrums any time anything changes in her envi- ronment (e.g., a substitute teacher at school). Thanks largely to her family and pediatrician, she has received ex- cellent care, which has minimized the complications that arise with Prader-Willi syndrome—most notably those related to obesity and its pathological effects.

Although the study of Prader-Willi syndrome has yet to provide any direct evidence about the neural mecha- nisms of hunger and eating, there has been a marked surge in its investigation. This increase has been stimu- lated by the recent identification of the genetic cause of the condition: an accident of reproduction that deletes or disrupts a section of chromosome 15 coming from the fa- ther. This information has provided clues about genetic factors in appetite.

12.5 Body Weight Regulation: Set Points versus Settling Points

One strength of set-point theories of eating is that they explain body weight regulation. You have already learned that set-point theories are largely inconsistent with the facts of eating, but how well do they account for the reg- ulation of body weight? Certainly, many people in our culture believe that body weight is regulated by a body-fat set point (Assanand, Pinel, & Lehman, 1998a, 1998b). They believe that when fat deposits are below a person’s set point, a person becomes hungrier and eats more, which results in a return of body-fat levels to that person’s set point; and, conversely, they believe that when fat de- posits are above a person’s set point, a person becomes less hungry and eats less, which results in a return of body-fat levels to their set point.

Set-Point Assumptions about Body Weight and Eating You have already learned that set-point theories do a poor job of explaining the characteristics of hunger and eating. Do they do a better job of accounting for the facts of body weight regulation? Let’s begin by looking at three lines of evidence that challenge fundamental aspects of many set- point theories of body weight regulation.

Variability of Body Weight The set-point model was expressly designed to explain why adult body weights re- main constant. Indeed, a set-point mechanism should make it virtually impossible for an adult to gain or lose large amounts of weight. Yet, many adults experience large and lasting changes in body weight (see Booth, 2004). Moreover, set-point thinking crumbles in the face of the epidemic of obesity that is currently sweeping fast- food societies (Rosenheck, 2008).

Set-point theories of body weight regulation suggest that the best method of maintaining a constant body weight is to eat each time there is a motivation to eat, be- cause, according to the theory, the main function of hunger is to defend the set point. However, many people avoid obesity only by resisting their urges to eat.

Set Points and Health One implication of set-point theories of body weight regulation is that each person’s set point is optimal for that person’s health—or at least not incompatible with good health. This is why popular psychologists commonly advise people to “listen to the wisdom of their bodies” and eat as much as they need to satisfy their hunger. Experimental results indicate that this common prescription for good health could not be further from the truth.

Two kinds of evidence suggest that typical ad libitum (free-feeding) levels of consumption are unhealthy (see Brownell & Rodin, 1994). First are the results of studies of humans who consume fewer calories than others. For ex- ample, people living on the Japanese island of Okinawa seemed to eat so few calories that their eating habits be- came a concern of health officials. When the health offi- cials took a closer look, here is what they found (see Kagawa, 1978). Adult Okinawans were found to consume, on average, 20% fewer calories than other adult Japanese, and Okinawan school children were found to consume 38% fewer calories than recommended by public health officials. It was somewhat surprising then that rates of morbidity and mortality and of all aging-related diseases were found to be substantially lower in Okinawa than in other parts of Japan, a country in which overall levels of caloric intake and obesity are far below Western norms. For example, the death rates from stroke, cancer, and heart disease in Okinawa were only 59%, 69%, and 59%, respectively, of those in the rest of Japan. Indeed, the pro- portion of Okinawans living to be over 100 years of age

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was up to 40 times greater than that of inhabitants of var- ious other regions of Japan.

The Okinawan study and the other studies that have reported major health benefits in humans who eat less (e.g., Manson et al., 1995; Meyer et al., 2006; Walford &

Walford, 1994) are not controlled experiments; therefore, they must be interpreted with caution. For ex-

ample, perhaps it is not simply the consumption of fewer calories that leads to health and longevity; per- haps in some cultures people who eat less tend to eat healthier diets.

Controlled experimental demonstrations in over a dozen different mammalian species, including monkeys (see Coleman et al., 2009), of the beneficial effects of calo-

rie restriction constitute the second kind of evidence that ad libitum levels of con- sumption are unhealthy. Fortunately, the

results of such controlled experiments do not present the same problems of interpretation as do the findings of the Okinawa study and other similar correlational studies in humans. In typical calorie-restriction experiments, one group of subjects is allowed to eat as much as they choose, while other groups of subjects have their caloric intake of the same diets substantially reduced (by between 25% and 65% in various studies). Results of such experiments have been remarkably consistent (see Bucci, 1992; Masoro, 1988; Weindruch, 1996; Weindruch & Walford, 1988): In experiment after experiment, substantial reductions in the caloric intake of balanced diets have improved nu- merous indices of health and increased longevity. For ex- ample, in one experiment (Weindruch et al., 1986), groups of mice had their caloric intake of a well-balanced commercial diet reduced by either 25%, 55%, or 65% after weaning. All levels of dietary restriction substantially improved health and increased longevity, but the benefits

were greatest in the mice whose intake was reduced the most. Those mice that con- sumed the least had the lowest incidence of

cancer, the best immune responses, and the greatest maxi- mum life span—they lived 67% longer than mice that ate as much as they liked. Evidence suggests that dietary restriction can have beneficial effects even if it is not initi- ated until later in life (Mair et al., 2003; Vaupel, Carey, & Christensen, 2003).

One important point about the results of the calorie- restriction experiments is that the health benefits of the restricted diets may not be entirely attributable to loss of body fat (see Weindruch, 1996). In some dietary restric- tion studies, the health of subjects has improved even if they did not reduce their body fat, and there are often no significant correlations between amount of weight loss and improvements in health. This suggests excessive en- ergy consumption, independent of fat accumulation, may accelerate aging with all its attendant health problems (Lane, Ingram, & Roth, 2002; Prolla & Mattson, 2001).

Remarkably, there is evidence that dietary restriction can be used to treat some neurological conditions. Caloric restriction has been shown to reduce seizure susceptibility in human epileptics (see Maalouf, Rho, & Mattson, 2008) and to improve memory in the elderly (Witte et al., 2009). Please stop and think about the impli- cations of all these findings about calorie restriction. How much do you eat?

Regulation of Body Weight by Changes in the Effi- ciency of Energy Utilization Implicit in many set- point theories is the premise that body weight is largely a function of how much a person eats. Of course, how much someone eats plays a role in his or her body weight, but it is now clear that the body controls its fat levels, to a large degree, by changing the efficiency with which it uses energy. As a person’s level of body fat declines, that person starts to use energy resources more efficiently, which lim- its further weight loss (see Martin, White, & Hulsey, 1991); conversely, weight gain is limited by a progressive decrease in the efficiency of energy utilization. Rothwell and Stock (1982) created a group of obese rats by main- taining them on a cafeteria diet, and they found that the resting level of energy expenditure in these obese rats was 45% greater than in control rats.

This point is illustrated by the progressively declining effectiveness of weight-loss programs. Initially, low-calorie diets produce substantial weight loss. But the rate of weight loss diminishes with each successive week on the diet, until an equilibrium is achieved and little or no fur- ther weight loss occurs. Most dieters are familiar with this disappointing trend. A similar effect occurs with weight- gain programs (see Figure 12.13 on page 316).

The mechanism by which the body adjusts the effi- ciency of its energy utilization in response to its levels of body fat has been termed diet-induced thermogenesis. Increases in the levels of body fat produce increases in body temperature, which require additional energy to maintain them—and decreases in the level of body fat have the opposite effects (see Lazar, 2008).

There are major differences among humans both in basal metabolic rate (the rate at which energy is utilized to maintain bodily processes when resting) and in the ability to adjust the metabolic rate in response to changes in the levels of body fat. We all know people who remain slim even though they eat gluttonously. However, the re- search on calorie-restricted diets suggests that these peo- ple may not eat with impunity: There may be a health cost to pay for overeating even in the absence of obesity.

Set Points and Settling Points in Weight Control The theory that eating is part of a system designed to de- fend a body-fat set point has long had its critics (see

31512.5 ■ Body Weight Regulation: Set Points versus Settling Points

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Booth, Fuller, & Lewis, 1981; Wirtshafter & Davis, 1977), but for many years their arguments were largely ignored and the set-point assumption ruled. This situa- tion has been changing: Several promi- nent reviews of research on hunger and weight regulation generally acknowledge that a strict set-point model cannot ac-

count for the facts of weight regulation, and they argue for a more

flexible model (see Berthoud, 2002; Mercer & Speakman, 2001; Woods et al., 2000). Because the body-fat set-point model still dominates the thinking of many people, I want to review the main advantages of an alternative and more flexible regulatory model: the settling-point model. Can you change your thinking?

According to the settling-point model, body weight tends to drift around a natu- ral settling point—the level at which the various factors that influence body weight achieve an equilibrium. The idea is that as body-fat levels increase, changes occur that tend to limit further increases until a balance is achieved between all factors that encourage weight gain and all those that discourage it.

The settling-point model provides a loose kind of homeostatic regulation, without a set-point mechanism or mechanisms to return body weight to a set point. Ac- cording to the settling-point model, body weight remains stable as long as there are no long-term changes in the factors that influence it; and if there are such changes, their impact is limited by negative feedback. In the settling- point model, the negative feedback merely limits further changes in the same direction, whereas in the set-point model, negative feedback triggers a return to the set point. A neuron’s resting potential is a well-known bio- logical settling point—see Chapter 4.

The seductiveness of the set-point mechanism is attrib- utable in no small part to the existence of the thermostat model, which provides a vivid means of thinking about it. Figure 12.14 presents an analogy I like to use to think about the settling-point mechanism. I call it the leaky-barrel model: (1) The amount of water entering the hose is analogous to the amount of food available to the subject; (2) the water pressure at the nozzle is analogous to the

positive-incentive value of the available food; (3) the amount of water entering the barrel is analogous to the amount of

energy consumed; (4) the water level in the barrel is analo- gous to the level of body fat; (5) the amount of water leak- ing from the barrel is analogous to the amount of energy being expended; and (6) the weight of the barrel on the hose is analogous to the strength of the satiety signal.

The main advantage of the settling-point model of body weight regulation over the body-fat set-point model is that it is more consistent with the data. Another advan- tage is that in those cases in which both models make the same prediction, the settling-point model does so more parsimoniously—that is, with a simpler mechanism that requires fewer assumptions. Let’s use the leaky-barrel analogy to see how the two models account for four key facts of weight regulation.

● Body weight remains relatively constant in many adult animals. On the basis of this fact, it has been argued that body fat must be regulated around a set point. However, constant body weight does not require, or even imply, a set point. Consider the leaky-barrel model. As water from the tap begins to fill the barrel, the weight of the water in the barrel increases. This in- creases the amount of water leaking out of the barrel and decreases the amount of water entering the barrel by increasing the pressure of the barrel on the hose. Eventually, this system settles into an equilibrium where the water level stays constant; but because this level is neither predetermined nor actively defended, it is a settling point, not a set point.

316 Chapter 12 ■ Hunger, Eating, and Health

If diets are maintained, body weight eventually stabilizes at a new level

B o

d y

W ei

g h

t (p

o u

n d

s)

Weeks

15 20 25 30105

160

150

140

130

120

Low-calorie diet High-calorie diet

FIGURE 12.13 The diminishing effects on body weight of a low-calorie diet and a high- calorie diet.

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● Many adult animals experience enduring changes in body weight. Set-point systems are designed to main- tain internal constancy in the face of fluctuations of the external environment. Thus, the fact that many adult animals experience long-term changes in body weight is a strong argument against the set-point model. In contrast, the settling-point model predicts that when there is an enduring change in one of the parameters that affect body weight—for example, a major increase in the positive-incentive value of available food—body weight will drift to a new settling point.

● If a subject’s intake of food is reduced, metabolic changes that limit the loss of weight occur; the oppo- site happens when the subject overeats. This fact is often cited as evidence for set-point regulation of body weight; however, because the metabolic changes merely limit further weight changes rather than eliminating those that have occurred, they are more consistent with a settling-point model. For example, when water intake in the leaky-barrel model is reduced, the water

level in the barrel begins to drop; but the drop is lim- ited by a decrease in leakage and an increase in inflow attributable to the falling water pressure in the barrel. Eventually, a new settling point is achieved, but the re- duction in water level is not as great as one might ex- pect because of the loss-limiting changes.

● After an individual has lost a substantial amount of weight (by dieting, exercise, or the surgical removal of fat), there is a tendency for the original weight to be re- gained once the subject returns to the previous eating- and energy-related lifestyle. Although this finding is often offered as irrefutable evidence of a body-weight set point, the settling-point model readily accounts for it. When the water level in the leaky-barrel model is reduced—by temporarily decreasing input (dieting), by temporarily increasing output (exercising), or by scoop- ing out some of the water (surgical removal of fat)— only a temporary drop in the settling point is produced. When the original conditions are reinstated, the water level inexorably drifts back to the original settling point.

31712.5 ■ Body Weight Regulation: Set Points versus Settling Points

1The amount of water entering the hose is analogous to the amount of available food.

2 The water pressure at the nozzle is analogous to the incentive value of the available food.

3 The amount of water entering the barrel is analogous to the amount of consumed energy.

4 The water level in the barrel is analogous to the level of body fat.

5 The amount of water leaking from the barrel is analogous to the amount of energy being expended.

6 The weight of the barrel on the hose is analogous to the strength of the satiety signal.

FIGURE 12.14 The leaky-barrel model: a settling-point model of eating and body weight homeostasis.

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Does it really matter whether we think about body weight regulation in terms of set points or settling points— or is making such a distinction just splitting hairs? It cer- tainly matters to biopsychologists: Understanding that

body weight is regulated by a settling- point system helps them better under- stand, and more accurately predict,

the changes in body weight that are likely to occur in vari- ous situations; it also indicates the kinds of physiological mechanisms that are likely to mediate these changes. And it should matter to you. If the set-point model is correct, at- tempting to change your body weight would be a waste of time; you would inevitably be drawn back to your body- weight set point. On the other hand, the leaky-barrel model suggests that it is possible to permanently change your body weight by permanently changing any of the factors that influence energy intake and output.

11. ______ models are more consistent with the facts of body-weight regulation than are set-point models.

12. ______ are to set points as leaky barrels are to settling points.

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Are you ready to move on to the final two sections of the chapter, which deal with eating disorders? This is a good place to pause and scan your brain to see if you under- stand the physiological mechanisms of eating and weight regulation. Complete the following sentences by filling in the blanks. The correct answers are provided at the end of the exercise. Before proceeding, review material related to your incorrect answers and omissions.

1. The expectation of a meal normally stimulates the release of ______ into the blood, which reduces blood glucose.

2. In the 1950s, the ______ hypothalamus was thought to be a satiety center.

3. A complete cessation of eating is called ______. 4. ______ is the breakdown of body fat to create usable

forms of energy. 5. The classic study of Washburn and Cannon was the

perfect collaboration: Cannon had the ideas, and Washburn could swallow a ______.

6. CCK is a gut peptide that is thought to be a ______ peptide.

7. ______ is the monoaminergic neurotransmitter that seems to play a role in satiety.

8. Okinawans eat less and live ______. 9. Experimental studies of ______ have shown that typi-

cal ad libitum (free-feeding) levels of consumption are unhealthy in many mammalian species.

10. As an individual grows fatter, further weight gain is minimized by diet-induced ______.

Scan Your Brainanswers: (1) insulin, (2) ventromedial, (3) aphagia, (4) Lipolysis, (5) balloon, (6) satiety, (7) Serotonin, (8) longer, (9) calorie restriction, (10) thermogenesis, (11) Settling-point, (12) Thermostats.

12.6 Human Obesity: Causes, Mechanisms, and Treatments

This is an important point in this chapter. The chapter opened by describing the current epidemic of obesity and overweight and its adverse effects on health and longevity and then went on to discuss behavioral and physiological factors that influence eating and weight. Most importantly, as the chapter progressed, you learned that some common beliefs about eating and weight regulation are incompati- ble with the evidence, and you were challenged to think about eating and weight regulation in unconventional ways that are more consistent with current evidence. Now, the chapter completes the circle with two sections on eat- ing disorders: This section focuses on obesity, and the next covers anorexia and bulimia. I hope that by this point you realize that obesity is currently a major health problem and will appreciate the relevance of what you are learning to your personal life and the lives of your loved ones.

Who Needs to Be Concerned about Obesity? Almost everyone needs to be concerned about the prob- lem of obesity. If you are currently overweight, the reason for concern is obvious: The relation between obesity and poor health has been repeatedly documented (see Eilat- Adar, Eldar, & Goldbourt, 2005; Ferrucci & Alley, 2007; Flegal et al., 2007; Hjartåker et al., 2005; Stevens, McClain, & Truesdale, 2006). Moreover, some studies have shown that even individuals who are only a bit overweight run a greater risk of developing health problems (Adams et al., 2006; Byers, 2006; Jee et al., 2006), as do obese individuals who manage to keep their blood pressure and blood cho- lesterol at normal levels (Yan et al., 2006). And the risk is not only to one’s own health: Obese women are at in- creased risk of having infants with health problems (Nohr et al., 2007).

Even if you are currently slim, there is cause for con- cern about the problem of obesity. The incidence of obe- sity is so high that it is almost certain to be a problem for somebody you care about. Furthermore, because weight tends to increase substantially with age, many people who are slim as youths develop serious weight problems as they age.

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There is cause for special concern for the next genera- tion. Because rates of obesity are increasing in most parts of the world (Rosenheck, 2008; Sofsian, 2007), public health officials are concerned about how they are going to handle the growing problem. For example, it has been es- timated that over one-third of the children born in the United States in 2000 will eventually develop diabetes, and 10% of these will develop related life-threatening conditions (see Haslam, Sattar, & Lean, 2006; Olshansky et al., 2005).

Why Is There an Epidemic of Obesity? Let’s begin our analysis of obesity by considering the pressures that are likely to have led to the evolution of our eating and weight-regulation systems (see Flier & Maratos-Flier, 2007; Lazar, 2005; Pinel et al., 2000). Dur-

ing the course of evolution, inconsistent food supplies were one of the main threats to survival. As a result, the fittest individu-

als were those who preferred high-calorie foods, ate to ca- pacity when food was available, stored as many excess calories as possible in the form of body fat, and used their stores of calories as efficiently as possible. Individuals who did not have these characteristics were unlikely to survive a food shortage, and so these characteristics were passed on to future generations.

The development of numerous cultural practices and beliefs that promote consumption has augmented the ef- fects of evolution. For example, in my culture, it is com- monly believed that one should eat three meals per day at regular times, whether one is hungry or not; that food should be the focus of most social gatherings; that meals should be served in courses of progressively increasing palatability; and that salt, sweets (e.g., sugar), and fats (e.g., butter or cream) should be added to foods to im- prove their flavor and thus increase their consumption.

Each of us possesses an eating and weight-regulation system that evolved to deal effectively with periodic food shortages, and many of us live in cultures whose eating- related practices evolved for the same purpose. However, our current environment differs from our “natural” envi- ronment in critical food-related ways. We live in an envi- ronment in which an endless variety of foods of the highest positive-incentive and caloric value are readily and continuously available. The consequence is an ap- pallingly high level of consumption.

Why Do Some People Become Obese While Others Do Not? Why do some people become obese while others living under the same obesity-promoting conditions do not? At a superficial level, the answer is obvious: Those who are obese are those whose energy intake has exceeded their energy output; those who are slim are those whose energy intake

has not exceeded their energy output (see Nestle, 2007). Although this answer provides little insight, it does serve to emphasize that two kinds of individual differences play a role in obesity: those that lead to differences in energy input and those that lead to differences in energy output.

Differences in Consumption There are many factors that lead some people to eat more than others who have comparable access to food. For example, some people consume more energy because they have strong prefer- ences for the taste of high-calorie foods (see Blundell & Finlayson, 2004; Epstein et al., 2007); some consume more because they were raised in families and/or cultures that promote excessive eating; and some consume more because they have particu- larly large cephalic-phase re- sponses to the sight or smell of food (Rodin, 1985).

Differences in Energy Expenditure With respect to energy output, people differ markedly from one another in the degree to which they can dissipate excess consumed energy. The most obvious difference is that people differ substantially in the amount of exercise they get; however, there are others. You have already learned about two of them: differences in basal metabolic rate and in the ability to react to fat increases by diet-induced thermogenesis. The third factor is called NEAT, or nonexercise activity thermo- genesis, which is generated by activities such as fidgeting and the maintenance of posture and muscle tone (Ravussin & Danforth, 1999) and can play a small role in dissipating excess energy (Levine, Eberhardt, & Jensen, 1999; Ravussin, 2005).

Genetic Differences Given the number of factors that can influence food consumption and energy metabolism, it is not surprising that many genes can influence body weight. Indeed, over 100 human chromosome loci (regions) have already been linked to obesity (see Fischer et al., 2009; Rankinen et al., 2006). However, because body weight is influenced by so many genes, it is proving difficult to under- stand how their interactions with one another and with ex- perience contribute to obesity in healthy people. Although it is proving difficult to unravel the various genetic factors that influence variations in body weight among the healthy, single gene mutations have been linked to pathological con- ditions that involve obesity. You will encounter an example of such a condition later in this section.

Why Are Weight-Loss Programs Typically Ineffective? Figure 12.15 describes the course of the typical weight- loss program. Most weight-loss programs are unsuccess- ful in the sense that, as predicted by the settling-point model, most of the lost weight is regained once the dieter

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stops following the program and the original conditions are reestablished. The key to permanent weight loss is a permanent lifestyle change.

Exercise has many health-promoting effects; however, despite the general belief that exercise is the most effective method of losing weight, several studies have shown that it often contributes little to weight loss (e.g., Sweeney et al., 1993). One reason is that physical exercise normally accounts for only a small proportion of total en- ergy expenditure: About 80% of the energy you expend is used to maintain the resting physiological processes of your body and to digest your food (Calles-Escandon & Horton, 1992). Another reason is that our bodies are effi- cient machines, burning only a small number of calories during a typical workout. Moreover, after exercise, many people feel free to consume extra drinks and foods that contain more calories than the relatively small number that were expended during the exercise.

Leptin and the Regulation of Body Fat Fat is more than a passive storehouse of energy; it actively releases a peptide hormone called leptin. The discovery of leptin has been extremely influential (see Elmquist & Flier, 2004). The following three subsections describe (1) the discovery of leptin, (2) how its discovery has fu- eled the development of a new approach to the treatment

of human obesity, and (3) how the understanding that leptin (and insulin) are feedback signals led to the discov- ery of a hypothalamic nucleus that plays an important role in the regulation of body fat.

Obese Mice and the Discovery of Leptin In 1950, a spontaneous genetic mutation occurred in the mouse colony being maintained in the Jackson Laboratory at Bar Harbor, Maine. The mutant mice were homozygous for the gene (ob), and they were grossly obese, weighing up to three times as much as typical mice. These mutant mice are commonly referred to as ob/ob mice. See Figure 12.16.

Ob/ob mice eat more than control mice; they convert calories to fat more efficiently; and they use their calories more efficiently. Coleman (1979) hypothesized that ob/ob mice lack a critical hormone that normally inhibits fat production and maintenance.

In 1994, Friedman and his colleagues characterized and cloned the gene that is mutated in ob/ob mice (Zhang et al., 1994). They found that this gene is expressed only in fat cells, and they characterized the protein that it nor- mally encodes, a peptide hormone that they named leptin. Because of their mutation, ob/ob mice lack leptin. This finding led to an exciting hypothesis: Perhaps leptin is a negative feedback signal that is normally released from fat

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1 Weight lossoccurs rapidly at beginning of diet

2 As weightdeclines, the amount of energy “leakage” is automatically reduced, and this reduces the rate of weight loss

3 Gradually thereduced rate of intake is matched by the reduced energy output, and a new stable settling point is achieved

4 When the dietis terminated, weight gain is rapid because of the high incentive value of food and the low level of energy leakage

5 As weightaccumulates, the incentive value of food gradually decreases and the energy leakage increases until the original settling point is regained

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stores to decrease appetite and increase fat metabolism. Could leptin be administered to obese humans to reverse the current epidemic of obesity?

Leptin, Insulin, and the Arcuate Melanocortin System There was great fanfare when leptin was dis- covered. However, it was not the first peptide hormone to be discovered that seems to function as a negative feed- back signal in the regulation of body fat (see Schwartz, 2000; Woods, 2004). More than 25 years ago, Woods and colleagues (1979) suggested that the pancreatic peptide hormone insulin serves such a function.

At first, the suggestion that insulin serves as a negative feedback signal for body fat regulation was viewed with skepticism. After all, how could the level of insulin in the body, which goes up and then comes back down to nor- mal following each meal, provide the brain with infor- mation about gradually changing levels of body fat? It turns out that insulin does not readily penetrate the blood–brain barrier, and its levels in the brain were found to stay relatively stable—indeed, high levels of glu- cose are toxic to neurons (Tomlinson & Gardiner, 2008). The following findings supported the hypothesis that in- sulin serves as a negative feedback signal in the regula- tion of body fat:

● Brain levels of insulin were found to be positively cor- related with levels of body fat (Seeley et al., 1996).

● Receptors for insulin were found in the brain (Baura et al., 1993).

● Infusions of insulin into the brains of laboratory ani- mals were found to reduce eating and body weight (Campfield et al., 1995; Chavez, Seeley, & Woods, 1995).

Why are there two fat feedback signals? One reason may be that leptin levels are more closely correlated with subcutaneous fat (fat stored under the skin), whereas insulin levels are more closely correlated with visceral

fat (fat stored around the internal organs of the body cavity)—see Hug & Lodish (2005). Thus, each fat signal provides different information. Visceral fat is more common in males than females and poses the greater threat to health (Wajchenberg, 2000). Insulin, but not leptin, is also involved in glucose regulation (see Schwartz & Porte, 2005).

The discovery that leptin and insulin are signals that provide information to the brain about fat levels in the body provided a means for discovering the neural cir- cuits that participate in fat regulation. Receptors for both peptide hormones are located in many parts of the nervous system, but most are in the hypothalamus, par- ticularly in one area of the hypothalamus: the arcuate nucleus.

A closer look at the distribution of leptin and insulin receptors in the arcuate nucleus indicated that these re- ceptors are not randomly distributed throughout the nu- cleus. They are located in two classes of neurons: neurons that release neuropeptide Y (the gut hunger peptide that you read about earlier in the chapter), and neurons that release melanocortins, a class of peptides that includes the gut satiety peptide α-melanocyte-stimulating hormone (alpha-melanocyte-stimulating hormone). Attention has been mostly focused on the melanocortin-releasing neurons in the arcuate nucleus (often referred to as the melanocortin system) because injections of α-melanocyte-stimulating hormone have been shown to suppress eating and pro- mote weight loss (see Horvath, 2005; Seeley & Woods, 2003). It seems, however, that the melanocortin system is only a minor component of a much larger system: Elimi- nation of leptin receptors in the melanocortin system produces only a slight weight gain (see Münzberg & Myers, 2005).

Leptin as a Treatment for Human Obesity The early studies of leptin seemed to confirm the hypothesis that it could function as an effective treatment for obesity. Re- ceptors for leptin were found in the brain, and injecting it into ob/ob mice reduced both their eating and their body fat (see Seeley & Woods, 2003). All that remained was to prove leptin’s effectiveness in human patients.

However, when research on leptin turned from ob/ob mice to obese humans, the program ran into two major snags. First, obese humans—unlike ob/ob mice—were found to have high, rather than low, levels of leptin (see Münzberg & Myers, 2005). Second, injections of leptin did not reduce either the eating or the body fat of obese humans (see Heymsfield et al., 1999).

Why the actions of leptin are different in humans and ob/ob mice has yet to be explained. Nevertheless, efforts to use leptin in the treatment of human obesity have not been a total failure. Although few obese humans have a genetic mutation to the ob gene, leptin is a panacea for those few who do. Consider the following case.

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FIGURE 12.16 An ob/ob mouse and a control mouse.

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The Case of the Child with No Leptin

The patient was of normal weight at birth, but her weight soon began to increase at an excessive rate. She demanded food continually and was disruptive when denied food. As a result of her extreme obesity, deformities of her legs de- veloped, and surgery was required.

She was 9 when she was referred for treatment. At this point, she weighed 94.4 kilograms (about 210 pounds), and her weight was still increasing at an alarming rate. She was found to be homozygous for the ob gene and had no detectable leptin. Thus, leptin therapy was com- menced.

The leptin therapy immediately curtailed the weight gain. She began to eat less, and she lost weight steadily over the 12-month period of the study, a total of 16.5 kilograms (about 36 pounds), almost all in the form of fat. There were no obvious side effects (Farooqi et al., 1999).

Treatment of Obesity Because obesity is such a severe health problem, there have been many efforts to develop an effective treatment. Some of these—such as the leptin treatment you just read about—have worked for a few, but the problem of obesity continues to grow. The following two subsections discuss two treatments that are at different stages of de- velopment: serotonergic agonists and gastric surgery.

Serotonergic Agonists Because—as you have already learned—serotonin agonists have been shown to reduce food consumption in both human and nonhuman sub- jects, they have considerable potential in the treatment of obesity (Halford & Blundell, 2000a). Serotonin agonists seem to act by a mechanism different from that for leptin and insulin, which produce long-term satiety signals based on fat stores. Serotonin agonists seem to increase short-term satiety signals associated with the consump- tion of a meal (Halford & Blundell, 2000b).

Serotonin agonists have been found in various studies of obese patients to reduce the following: the urge to eat high- calorie foods, the consumption of fat, the subjective inten-

sity of hunger, the size of meals, the number of between-meal snacks, and bingeing. Because of this extremely posi-

tive profile of effects and the severity of the obesity problem, serotonin agonists (fenfluramine and dexfenfluramine) were rushed into clinical use. However, they were subse- quently withdrawn from the market because chronic use was found to be associated with heart disease in a small, but significant, number of users. Currently, the search is on for serotonergic weight-loss medications that do not have dan- gerous side effects.

Gastric Surgery Cases of extreme obesity sometimes warrant extreme treatment. Gastric bypass is a surgical treatment for extreme obesity that involves short-circuiting the normal path of food through the digestive tract so that its absorption is reduced. The first gastric bypass was done in 1967, and it is currently the most commonly pre- scribed surgical treatment for extreme obesity. An alter- native is the adjustable gastric band procedure, which involves surgically positioning a hollow silicone band around the stomach to reduce the flow of food through it; the circumference of the band can be adjusted by inject- ing saline into the band through a port that is implanted in the skin. One advantage of the gastric band over the gastric bypass is that the band can readily be removed.

The gastric bypass and adjustable gastric band are illustrated in Figure 12.17. A meta-analysis of studies comparing the two procedures found both to be highly effective (Maggard et al., 2005). However, neither proce- dure is effective unless patients change their eating habits.

12.7 Anorexia and Bulimia Nervosa

In contrast to obesity, anorexia nervosa is a disorder of underconsumption (see Södersten, Bergh, & Zandian, 2006). Anorexics eat so little that they experience health- threatening weight loss; and despite their emaciated appearance, they often perceive themselves as fat (see Benning- hoven et al., 2006). Anorexia nervosa is a serious condition; In approximately 10% of diagnosed cases, complications from starvation result in death (Birmingham et al., 2005), and there is a high rate of suicide among anorexics (Pompili et al., 2004).

Anorexia nervosa is related to bulimia nervosa. Bulimia nervosa is a disorder characterized by periods of not eating interrupted by bingeing (eating huge amounts of food in short periods of time) followed by efforts to immediately eliminate the consumed calories from the body by voluntary purging (vomiting); by excessive use of laxatives, enemas, or diuretics; or by extreme exercise. Bu- limics may be obese or of normal weight. If they are un- derweight, they are diagnosed as bingeing anorexics.

Relation between Anorexia and Bulimia Are anorexia nervosa and bulimia nervosa really different disorders, as current convention dictates? The answer to this question depends on one’s perspective. From the perspec- tive of a physician, it is important to distinguish between these disorders because starvation pro- duces different health problems than does repeated bingeing and purging.

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For example, anorexics often require treatment for reduced metabolism, bradycardia (slow heart rate), hypotension (low blood pressure), hypothermia (low body temperature), and anemia (deficiency of red blood cells) (Miller et al., 2005). In contrast, bulimics often require treatment for irritation and inflammation of the esophagus, vitamin and mineral defi- ciencies, electrolyte imbalance, dehydration, and acid reflux.

Although anorexia and bulimia nervosa may seem like very different disorders from a physician’s perspective, sci- entists often find it more appropriate to view them as vari- ations of the same disorder. According to this view, both anorexia and bulimia begin with an obsession about body image and slimness and extreme efforts to lose weight. Both anorexics and bulimics attempt to lose weight by strict diet- ing, but bulimics are less capable of controlling their ap- petites and thus enter into a cycle of starvation, bingeing, and purging (see Russell, 1979). The following are other similarities that support the view that anorexia and bulimia are variants of the same disorder (see Kaye et al., 2005):

● Both anorexics and bulimics tend to have distorted body images, seeing themselves as much fatter and

less attractive than they are in reality (see Grant et al., 2002).

● In practice, many patients seem to straddle the two di- agnoses and cannot readily be assigned to one or the other categories and many patients flip-flop between the two diagnoses as their circumstances change (Lask & Bryant-Waugh, 2000; Santonastaso et al., 2006; Ten- coni et al., 2006).

● Anorexia and bulimia show the same pattern of distri- bution in the population. Although their overall inci- dence in the population is low (lifetime incidence estimates for American adults are 0.6% and 1.0% for anorexia and bulimia, respectively; Hudson et al., 2007), both conditions occur more commonly among educated females in affluent cultural groups (Lind- berg & Hjern, 2003).

● Both anorexia and bulimia are highly correlated with obsessive-compulsive disorder and depression (Kaye et al., 2004; O’Brien & Vincent, 2003).

● Neither disorder responds well to existing therapies. Short-term improvements are common, but relapse is usual (see Södersten et al., 2006).

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From esophagus From esophagusStaples create a smaller stomach pouch

Stitches

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Adjustable band slows passage of food through stomach

Skin

Access port to inflatable band

Gastric Bypass Adjustable Gastric Band

FIGURE 12.17 Two surgical methods for treating extreme obesity: gastric bypass and adjustable gastric band. The gastric band can be tightened by injecting saline into the access port implanted just beneath the skin.

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Anorexia and Positive Incentives The positive-incentive perspective on eating suggests that the decline in eating that defines both anorexia (and bulimia) is likely a consequence of a corresponding de- cline in the positive-incentive value of food. However, the

positive-incentive value of food for anorexia patients has received little attention—in part, because anorexic

patients often display substantial interest in food. The fact that many anorexic patients are obsessed with food— continually talking about it, thinking about it, and preparing it for others (Crisp, 1983)—seems to suggest that food still holds a high positive-incentive value for them. However, to avoid confusion, it is necessary to keep in mind that the positive-incentive value of interacting with food is not necessarily the same as the positive-incentive value of eating food—and it is the positive-incentive value of eating food that is critical when considering anorexia nervosa.

A few studies have examined the positive-incentive value of various tastes in anorexic patients (see, e.g., Drewnowski et al., 1987; Roefs et al., 2006; Sunday & Halmi, 1990). In general, these studies have found that the positive-incentive value of various tastes is lower in anorexic patients than in control participants. However, these studies grossly under- estimate the importance of reductions in the positive- incentive value of food in the etiology of anorexia nervosa, because the anorexic participants and the normal-weight control participants were not matched for weight—such matching is not practical.

We can get some insight into the effects of starvation on the positive-incentive value of food by studying starva- tion. That starvation normally triggers a radical increase in the positive-incentive value of food has been best docu- mented by the descriptions and behavior of participants voluntarily undergoing experimental semistarvation. When asked how it felt to starve, one participant replied:

I wait for mealtime. When it comes I eat slowly and make the food last as long as possible. The menu never gets mo- notonous even if it is the same each day or is of poor quality. It is food and all food tastes good. Even dirty crusts of bread in the street look appetizing. (Keys et al., 1950, p. 852)

Anorexia Nervosa: A Hypothesis The dominance of set-point theories in research into the regulation of hunger and eating has resulted in wide- spread inattention to one of the major puzzles of anorexia: Why does the adaptive massive increase in the positive-incentive value of eating that occurs in victims of starvation not occur in starving anorexics? Under condi- tions of starvation, the positive-incentive value of eating normally increases to such high levels that it is difficult to imagine how anybody who was starving—no matter how

controlled, rigid, obsessive, and motivated that person was—could refrain from eating in the presence of palat- able food. Why this protective mechanism is not activated in severe anorexics is a pressing question about the etiol- ogy of anorexia nervosa.

I believe that part of the answer lies in the research of Woods and his colleagues on the aversive physiological effects of meals. At the beginning of meals, people are nor- mally in reasonably homeostatic bal- ance, and this homeostasis is disrupted by the sudden infusion of calories. The other part of the answer lies in the finding that the aversive effects of meals are much greater in people who have been eating little (Brooks & Melnik, 1995). Meals, which produce adverse, but tolerable, effects in healthy individuals, may be extremely aversive for individuals who have undergone food deprivation. Evidence for the extremely noxious effects that eating meals has on starving humans is found in the re- actions of World War II concentration camp victims to refeeding—many were rendered ill and some were even killed by the food given to them by their liberators (Keys et al., 1950; see also Soloman & Kirby, 1990).

So why do severe anorexics not experience a massive in- crease in the positive-incentive value of eating, similar to the increase experienced by other starving individuals? The answer may be meals—meals forced on these patients as a result of the misconception of our society that meals are the healthy way to eat. Each meal consumed by an anorexic may produce a variety of conditioned taste aversions that reduce the motivation to eat. This hypothesis needs to be addressed because of its implication for treatment: Anorexic patients—or anybody else who is severely under- nourished—should not be encouraged, or even permitted, to eat meals. They should be fed—or infused with—small amounts of food intermittently throughout the day.

I have described the preceding hypothesis to show you the value of the new ideas that you have encountered in this chapter: The major test of a new theory is whether it leads to innovative hypotheses. A while ago, as I was perusing an article on global famine and malnutrition, I noticed an in- triguing comment: One of the clinical complications that results from feeding meals to famine victims is anorexia (Blackburn, 2001). What do you make of this?

The Case of the Anorexic Student In a society in which obesity is the main disorder of con- sumption, anorexics are out of step. People who are struggling to eat less have difficulty understanding those who have to struggle to eat. Still, when you stare anorexia in the face, it is diffi- cult not to be touched by it.

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She began by telling me how much she had been enjoy- ing the course and how sorry she was to be dropping out of the university. She was articulate and personable, and her grades were high—very high. Her problem was anorexia; she weighed only 82 pounds, and she was about to be hospitalized.

“But don’t you want to eat?” I asked naively.“Don’t you see that your plan to go to medical school will go up in smoke if you don’t eat?”

“Of course I want to eat. I know I am terribly thin— my friends tell me I am. Believe me, I know this is wreck- ing my life. I try to eat, but I just can’t force myself. In a strange way, I am pleased with my thinness.”

She was upset, and I was embarrassed by my insensi- tivity. “It’s too bad you’re dropping out of the course be- fore we cover the chapter on eating,” I said, groping for safer ground.

“Oh, I’ve read it already,” she responded. “It’s the first chapter I looked at. It had quite an effect on me; a lot of things started to make more sense. The bit about posi-

tive incentives and learning was really good. I think my problem began when eating started to lose its positive- incentive value for me—in my mind, I kind of associ- ated eating with being fat and all the boyfriend problems I was having. This made it easy to diet, but every once in a while I would get hungry and binge, or my parents would force me to eat a big meal. I would eat so much that I would feel ill. So I would put my fin- ger down my throat and make myself throw up. This kept me from gaining weight, but I think it also taught my body to associate my favorite foods with illness— kind of a conditioned taste aversion. What do you think of my theory?”

Her insightfulness impressed me; it made me feel all the more sorry that she was going to discontinue her studies. After a lengthy chat, she got up to leave, and I walked her to the door of my office. I wished her luck and made her promise to come back for a visit. I never saw her again, but the image of her emaciated body walking down the hallway from my office has stayed with me.

325Think about It

Themes Revisited

Three of the book’s four themes played prominent roles in this chapter. The thinking creatively theme was prevalent as you were challenged to critically evaluate your own beliefs and ambiguous research findings, to consider the

scientific implications of your own experiences, and to think in new ways about phenomena with major personal

and clinical implications. The chapter ended by using these new ideas to develop a potentially important hypothesis about the etiology of anorexia nervosa. Because of its emphasis on thinking, this chapter is my personal favorite.

Both aspects of the evolutionary perspective theme were emphasized repeatedly. First, you saw how thinking about hunger and eating from an evolutionary perspective leads to important insights. Second, you saw how controlled research on nonhuman species has contributed to our current understanding of human hunger and eating.

Finally, the clinical implications theme pervaded the chapter, but it was featured in the cases of the man who forgot not to eat, the child with Prader-Willi syndrome, the child with no leptin, and the anorexic student.

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Think about It

1. Set-point theories suggest that attempts at permanent weight loss are a waste of time. On the basis of what you have learned in this chapter, design an effective and per- manent weight-loss program.

2. Most of the eating-related health problems of people in our society occur because the conditions in which we live are different from those in which our species evolved. Discuss.

3. On the basis of what you have learned in this chapter, de- velop a feeding program for laboratory rats that would lead to obesity. Compare this program with the eating habits prevalent in your culture.

4. What causes anorexia nervosa? Summarize the evidence that supports your view.

5. Given the weight of evidence, why is the set-point theory of hunger and eating so prevalent?

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Set point (p. 299)

12.1 Digestion, Energy Storage, and Energy Utilization Digestion (p. 299) Lipids (p. 300) Amino acids (p. 300) Glucose (p. 300) Cephalic phase (p. 301) Absorptive phase (p. 301) Fasting phase (p. 301) Insulin (p. 301) Glucagon (p. 301) Gluconeogenesis (p. 301) Free fatty acids (p. 301) Ketones (p. 301)

12.2 Theories of Hunger and Eating: Set Points versus Positive Incentives Set-point assumption (p. 302) Negative feedback systems

(p. 303)

Homeostasis (p. 303) Glucostatic theory (p. 303) Lipostatic theory (p. 303) Positive-incentive theory

(p. 304) Positive-incentive value (p. 304)

12.3 Factors That Determine What, When, and How Much We Eat Satiety (p. 306) Nutritive density (p. 306) Sham eating (p. 306) Appetizer effect (p. 307) Cafeteria diet (p. 308) Sensory-specific satiety (p. 308)

12.4 Physiological Research on Hunger and Satiety Ventromedial hypothalamus

(VMH) (p. 309) Lateral hypothalamus (LH)

(p. 310) Hyperphagia (p. 310)

Dynamic phase (p. 310) Static phase (p. 310) Aphagia (p. 310) Adipsia (p. 310) Lipogenesis (p. 310) Lipolysis (p. 310) Paraventricular nuclei (p. 311) Duodenum (p. 312) Cholecystokinin (CCK) (p. 312) Prader-Willi syndrome (p. 313)

12.5 Body Weight Regulation: Set Points versus Settling Points Diet-induced thermogenesis

(p. 315) Basal metabolic rate (p. 315) Settling point (p. 316) Leaky-barrel model (p. 316)

12.6 Human Obesity: Causes, Mechanisms, and Treatments NEAT (p. 319) Leptin (p. 320)

Ob/ob mice (p. 320) Subcutaneous fat (p. 321) Visceral fat (p. 321) Arcuate nucleus (p. 321) Neuropeptide Y (p. 321) Melanocortins (p. 321) Melanocortin system (p. 321) Gastric bypass (p, 322) Adjustable gastric band

procedure (p. 322)

12.7 Anorexia and Bulimia Nervosa Anorexia nervosa (p. 322) Bulimia nervosa (p. 322)

Key Terms

Test your comprehension of the chapter with this brief practice test. You can find the answers to these questions as well as more practice tests, activities, and other study resources at www.mypsychlab.com.

1. The phase of energy metabolism that often begins with the sight, the smell, or even the thought of food is the a. luteal phase. b. absorptive phase. c. cephalic phase. d. fasting phase. e. none of the above

2. The ventromedial hypothalamus (VH) was once believed to be a. part of the hippocampus. b. a satiety center. c. a hunger center. d. static. e. dynamic.

3. Patients with Prader-Willi syndrome suffer from a. anorexia nervosa. b. bulimia. c. an inability to digest fats. d. insatiable hunger. e. lack of memory for eating.

4. In comparison to obese people, slim people tend to a. have longer life expectancies. b. be healthier. c. be less efficient in their use of body energy. d. all of the above e. both a and b

5. Body fat releases a hormone called a. leptin. b. glucagon. c. insulin. d. glycogen. e. serotonin.

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Biopsychology, Eighth Edition, by John P.J. Pinel. Published by Allyn & Bacon. Copyright © 2011 by Pearson Education, Inc.

 
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PSYC 420 Psychology homework help

Integration Paper Instructions

 

Description: This paper is the capstone project of the course, and it will describe your approach to the relationship between psychology and Christianity. You will classify your approach and note the strengths (3) and limitations (3) of your view as well as reflect on different factors that led to your position.

 

Purpose: This course has presented several models of the relationship between Christian faith and the discipline of psychology. Your view of the relationship between psychology and Christian faith will guide your practice of psychology, both professionally and personally. This paper provides an explicit avenue for you to articulate a coherent view of the relationship between psychology and Christianity.

 

Details:

1. Papers will be graded on the quality of thinking, defense, organization, clarity, and grammar…not on whether you agree with the instructor’s position.

2. Begin with an introductory paragraph that describes the importance of examining the relationship between psychology and Christianity. The last sentence of the introduction must be your thesis statement that guides the rest of your paper.

· Example: Upon consideration of the evidence from various disciplines of study, it seems like the (model chosen) best captures the relationship between psychological science and Christian faith.

3. In writing about your position (you will need to classify your approach), be sure to touch on the following (and remember to cite Entwistle when you use his ideas):

· What methods of knowing are appropriate for Christians and why (this will actually help you classify your approach);

· A thorough description of the model and how it views the relationship between psychology and Christianity;

· How your model views the two books concept;

· Strengths of the model (at least three);

· Limitations of the model (at least three); be sure to include critiques offered by those who hold other positions; and

· Remember to use transition statements as you move from one main idea to the next.

4. End with a conclusion.

5. Avoid using 1st person.

· Instead of saying “I think Christians should embrace psychology,” say “Christians should embrace psychology.”

· Instead of saying “My view corresponds with the Colonialist position,” say “The Colonialist position seems ….”

6. The instructor will not proofread papers, but it is acceptable for a friend to proofread for clarity, grammar, and spelling.

7. If you need assistance, contact The Online Writing Center.

 

Paper format:

· Paper text must be 5 pages, excluding references, title page, and abstract.

· Times New Roman, 12 point font, 1” margins.

· Sections:

· Title page

· Abstract on separate page, mentioning thesis and summary of the paper. To get the maximum points, be sure to clearly mention the thesis and provide a summary of the main ideas and conclusions. Tip: It is often easier to write your abstract at the end of your paper.

· Body (5 pages): See above; must use APA headings

· References:

· Make sure to use current APA format.

· Do not assume that the format presented by the Jerry Falwell Library search engine is correct.

· Be sure to cite Entwistle and the Bible (but remember that the Bible does not appear in the References section).

· Check the current APA style manual for details.

· You must use Microsoft Word.

· Submit your paper to SafeAssign in Blackboard.

 

Submit your Integration Paper by 11:59 p.m. (ET) on Monday of Module/Week 7.

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Psych19 exam 2

 

1.

What would provide evidence that habituation has occurred?

(Points : 2)

[removed] The infant opens her mouth to mimic the mother’s open mouth.
[removed] The infant visually follows the caregiver who is walking across the room.
[removed] The infant’s response decreases each time she sees the same red teddy bear.
[removed] The infants pays attention to a new toy handed to her.

Question 2.2.

Plasticity means ____.

(Points : 2)

[removed] the neurons in the infant’s brain are connected in a random manner, and all the patterns depend on experience
[removed] the basic organization of areas of the brain depend on early experience
[removed] there is no relationship between experience and neural development
[removed] sensory experiences can strengthen certain neural pathways; less used pathways may disappear

Question 3.3.

The relatively stable characteristics of a child’s response to the environment including activity level, sociability, and emotionality are called ____.

(Points : 2)

[removed] temperament
[removed] reflexes
[removed] attachment
[removed] personality

Question 4.4.

Motor reflexes undergo some transformations during infancy. What is the typical pattern of change? Think about reaching and grasping as an example.

(Points : 2)

[removed] Motor control begins in the hands and fingers and moves toward the trunk.
[removed] Motor control shifts from the feet to the hands and shoulders.
[removed] Involuntary behavior disappears and voluntary behavior emerges with practice.
[removed] Voluntary behavior becomes involuntary behavior.

Question 5.5.

Infants who exhibit a pattern of intense negative reactions to unfamiliar objects, negative mood, and are slow to adapt are displaying which type of temperament?

(Points : 2)

[removed] difficult
[removed] shy
[removed] uninhibited
[removed] slow to warm up

Question 6.6.

Which of the following behaviors is NOT used as evidence that an attachment has been formed?

(Points : 2)

[removed] greater relaxation and expressions of comfort with the caregiver
[removed] greater distress with the caregiver than with strangers
[removed] expressions of distress when the caregiver is absent
[removed] efforts by the infant to maintain contact with the caregiver

Question 7.7.

Babies who avoid contact with their mothers after separation or who ignore her efforts to interact have a(n) ____ attachment.

(Points : 2)

[removed] secure
[removed] insecure
[removed] anxious-resistant
[removed] anxious-avoidant

Question 8.8.

Which attachment pattern is linked with the most serious mental health problems in later childhood?

(Points : 2)

[removed] anxious-avoidant
[removed] anxious-resistant
[removed] secure
[removed] disorganized

Question 9.9.

Which of the following has been consistently observed to be a consequence of secure attachments formed in infancy?

(Points : 2)

[removed] success in job placement after college
[removed] positive, close peer relationships in childhood and adolescence
[removed] meaningful relationships with one’s grandchildren in later adulthood
[removed] an ability to face one’s death without great fear

Question 10.10.

Which statement best reflects the apparent connection between infant temperament and attachment?

(Points : 2)

[removed] The infant’s temperament influences parental interactions with the infant to form attachment.
[removed] An infant’s temperament is a strong predictor of the type of attachment that will be formed.
[removed] The infant’s temperament influences the caregiver’s self-esteem.
[removed] Only sociable babies form secure attachments.

Question 11.11.

In the study of an intervention with mothers and infants who were classified as having an anxious attachment, which one of the following was an outcome of the intervention?

(Points : 2)

[removed] The mothers increased their self-acceptance.
[removed] The mothers showed greater empathy for their children.
[removed] The children improved in their ability to regulate their behavior in coordination with their mother’s.
[removed] All of these.

Question 12.12.

According to the “Theory” theory, infants start out with some basic sensory, motor, and cognitive structures. What might modify these structures?

(Points : 2)

[removed] experiences that provide new information
[removed] experiences that support and confirm the structures
[removed] gazing and concentrating
[removed] parental warmth

Question 13.13.

What are the first and last phases in the development of causal schemes during the sensorimotor period?

(Points : 2)

[removed] reflexes; experimentation with new means
[removed] reflexes; insight
[removed] first habits; insight
[removed] first habits; experimentation with means

Question 14.14.

Objects do not cease to exist when they are out of reach or view. This concept is referred to as ____.

(Points : 2)

[removed] scheme
[removed] primitive causality
[removed] means-end relationship
[removed] object permanence

Question 15.15.

Which of the following family factors is tied to increases in an infant’s negative emotionality?

(Points : 2)

[removed] being a first born child
[removed] high levels of marital dissatisfaction for mother or father
[removed] low educational level of mother
[removed] lack of grandparent involvement in childcare

Question 16.16.

On her first birthday, Emily looks at her mother as they observe the clown coming to her party. At first Emily is crying. Then her mother smiles and acts very happy, so Emily smiles, too. This is an example of ____.

(Points : 2)

[removed] empathy
[removed] attachment
[removed] visual acuity
[removed] social referencing

Question 17.17.

Within the process of communication, which of the following patterns builds a sense of mutuality between the infant and the caregiver?

(Points : 2)

[removed] attend, protest, anger
[removed] trust, mistrust, withdrawal
[removed] coordination, mismatch, repair
[removed] coordination, mismatch, protest

Question 18.18.

Mental images, symbolic drawing, and imitation in the absence of a model are examples of which of the following?

(Points : 2)

[removed] concrete thinking
[removed] operational schemes
[removed] representational thinking
[removed] hypothetico-deductive reasoning

Question 19.19.

Match the concept with the correct definition.
(Points : 6)

 

Potential Matches:

1 : scaffolding

2 : holophrases

3 : overregularize

4 : receptive language

5 : telegraphic speech

6 : expansion

 

Answer

[removed] : two-word sentences

[removed] : raising the level of a child’s vocabulary

[removed] : elaborating a child’s expressions

[removed] : ability to understand words

[removed] : single-word utterances

[removed] : apply a grammatical rule inappropriately

 

Question 20.20.

Among the choices below, which is the most important factor that caregivers contribute for the cognitive growth of their toddler?

(Points : 2)

[removed] nutritious meals
[removed] opportunities for verbal interaction
[removed] providing for safety
[removed] enrollment in childcare

Question 21.21.

In which type of play do children coordinate their pretense by establishing a fantasy structure, taking roles, agreeing on the make-believe meaning of props, and solving pretend problems?

(Points : 2)

[removed] solitary play
[removed] social play
[removed] social pretend play
[removed] sensorimotor play

Question 22.22.

Which of the following describes the direction of fantasy play from the beginning of toddlerhood to the end?

(Points : 2)

[removed] The play becomes less planned and more associational (one action sparks the rest)
[removed] The play relies increasingly on real objects.
[removed] The play is based largely on the imitation of real world characters.
[removed] The play increasingly involves the creation of complex sequences of actions and roles.

Question 23.23.

According to Vygotsky’s concept of Zone of Proximal Development, children in pretend play ____.

(Points : 2)

[removed] reveal the areas of competence they are striving to master
[removed] show the limits of their patience
[removed] play best with the children closest to them physically
[removed] often regress in preschool play

Question 24.24.

For a toddler, what is one of the consequences of having strong feelings of shame and doubt?

(Points : 2)

[removed] realistic expectations about performance
[removed] extreme sensitivity to the feelings of others
[removed] seeking out new information
[removed] avoiding new activities

Question 25.25.

Which of the following is the psychosocial crisis of toddlerhood?

(Points : 2)

[removed] imitation versus inferiority
[removed] initiative versus guilt
[removed] autonomy versus shame and doubt
[removed] peer group membership versus despair

Question 26.26. George is 2 ½ years old. He is with his mother in the grocery store and asks her to buy sugar coated sugar bumps (his favorite cereal). When his mother says no George begins to get upset. He stands in the middle of the aisle with his arms crossed. When his mother asks him to come with her he says “Not until you buy me my sugar bumps!” George’s mother is considering several options to get him to do what she wants. Match the different things she is considering to the different categories of discipline practices discussed in your text.
(Points : 3)

 

Potential Matches:

1 : power assertion

2 : inductions

3 : love withdrawal

 

Answer

[removed] : Tell George how disappointed and angry he is making her. If that doesn’t work turn and walk away from him. When he follows she doesn’t talk to him for a while so he can understand how upset he made her.

[removed] : Explain to George that she understands why he’s angry but acting like this when you don’t get what you want isn’t fair to others. Point out to him that if he continues to stand there, the shopping won’t get done in time and dinner will be late for the whole family.

[removed] : Threaten to take away George’s video games if he continues to stand there and not move. If that does not work pick him up and put him in the shopping cart.

 

Question 27.27.

Match the following terms and their definitions.
(Points : 4)

 

Potential Matches:

1 : gender

2 : sexual orientation

3 : sex

4 : gender-role standards

 

Answer

[removed] : cultural expectations about appropriate behavior for girls and boys, men and women

[removed] : biologically based distinctions based on chromosomal information

[removed] : one’s preference regarding the sex of an intimate partner

[removed] : the integrated cognitive, social, and emotional schemes associated with being male or female

 

Question 28.28.

Which of the following is the earliest component of gender role identification to be achieved?

(Points : 2)

[removed] sex-role preference
[removed] correct use of gender labels
[removed] sex-role standards
[removed] understanding that gender is constant

Question 29.29.

For the early-school-age child, moral development involves a process of learning the family’s moral code and then using it to guide behavior. This is called ____.

(Points : 2)

[removed] gender-role preference
[removed] avoidance conditioning
[removed] internalization
[removed] induction

Question 30.30.

Joelle, a 6-year old, really wants to eat a cookie out of the cookie jar. However she remembers how mad her mother got at her when she ate a cookie right before dinner last week and she starts to feel anxiety. In the end, Joelle decides not to eat the cookie and this reduces her anxiety. This is an example of ____.

(Points : 2)

[removed] operant conditioning
[removed] reward conditioning
[removed] avoidance conditioning
[removed] anxiety conditioning

Question 31.31.

Every day Johnny watches Tally get in trouble when she rides her bike further than their mother allows them to go. Johnny really wants to go around the corner when riding his bike but he knows his mother will be angry and that he will get in trouble, so he stops at the corner and turns back towards their house on his bike. This is an example of ____.

(Points : 2)

[removed] observation of models
[removed] cognitive schemes
[removed] help giving behaviors
[removed] punishment

Question 32.32.

According to cognitive developmental theory, advances in moral reasoning occur when a child has to reconcile new views about basic moral concepts with existing views about what is right or wrong. This process is called ____.

(Points : 2)

[removed] social convention
[removed] empathy
[removed] conventional morality
[removed] equilibration

Question 33.33.

Perspective taking differs from empathy in which way?

(Points : 2)

[removed] They are both social skills.
[removed] Perspective taking does not occur at the early-school-age period.
[removed] Perspective taking involves recognizing differences in point of view rather than similarities.
[removed] Perspective taking increases a child’s egocentrism.

Question 34.34.

People who have high self-esteem tend to ____.

(Points : 2)

[removed] have strong positive evaluations of all of their abilities
[removed] find that failure increases their feelings of doubt about their basic worth
[removed] use a variety of strategies to minimize the importance of negative feedback
[removed] derive this sense of self-worth primarily through pretend activities

Question 35.35.

Group games during early school age often permit children to shift roles. This contributes to which of the following?

(Points : 2)

[removed] perspective-taking abilities
[removed] fantasy
[removed] emotional regulation
[removed] self-esteem

Question 36.36.

Which of the following is true about the groups girls and boys prefer during early school age?

(Points : 2)

[removed] Girls prefer two-person groups, while boys prefer larger groups.
[removed] Boys prefer two-person groups, while girls prefer larger groups.
[removed] Girls prefer mixed-sex groups while boys prefer same-sex groups.
[removed] Boys prefer mixed-sex groups while girls prefer same-sex groups.

Question 37.37.

Children who suffer extreme feelings of guilt are likely to believe that ____.

(Points : 2)

[removed] their thoughts cause the misfortunes of others
[removed] they can be forgiven for their mistakes
[removed] the good things that happen to them are a result of their efforts
[removed] they are a lot like other friends

Question 38.38.

How is attachment formation in infancy related to friendship formation?

(Points : 2)

[removed] Children who are securely attached do not need friends.
[removed] Children who are anxiously attached make friends readily.
[removed] Children who are securely attached are more popular and more comfortable in social interactions.
[removed] Children who are securely attached look for one best friend with whom to share their feelings.

Question 39.39.

Some children who are rejected tend to be disruptive and aggressive; others tend to be socially withdrawn. Which of the following statements is more characteristic of the aggressive/disruptive children than the socially withdrawn group?

(Points : 2)

[removed] They tend to experience difficulty dealing with stress.
[removed] They tend to display inappropriate affect and unusual behavioral mannerisms.
[removed] They are more likely to benefit from organized sports programs.
[removed] They are more likely to attribute hostile intentions to others.

Question 40.40.

According to Piaget’s Theory, an action or transformation that is carried out in thought rather than in action is called ____.

(Points : 2)

[removed] a formal transformation
[removed] fantasy thinking
[removed] a mental operation
[removed] a cerebral manipulation

Question 41.41.

Why does Piaget use the term “concrete” to describe the quality of thinking that is characteristic of middle childhood?

(Points : 2)

[removed] Children can only reason about inanimate objects at this stage.
[removed] His father was a stoneworker and this term was invented out of respect for his father.
[removed] The term highlights the focus on real objects rather than hypothetical situations and relationships.
[removed] The term reflects Piaget’s concerns about the intellectual rigidity and vulnerability of middle childhood.

Question 42.42.

Milly is thinking about why she is feeling sad and disappointed. This kind of thinking is called ____.

(Points : 2)

[removed] depression
[removed] psychological mindedness
[removed] inferiority
[removed] shame

Question 43.43.

According to Robert Sternberg, there are three kinds of intelligence. However, tests of intelligence typically only assess one of these. Which one is that?

(Points : 2)

[removed] creative intelligence
[removed] analytic intelligence
[removed] practical intelligence
[removed] interpersonal intelligence

Question 44.44.

During middle childhood, self-evaluation is strongly influenced by ____.

(Points : 2)

[removed] combinational skills
[removed] comparisons with the performance of peers
[removed] trust in one’s parents as economic providers
[removed] the ability to maintain emotional control

Question 45.45.

A person’s sense of confidence that he or she can perform behaviors in a specific situation is called ____.

(Points : 2)

[removed] self-efficacy
[removed] effortful control
[removed] conservation
[removed] zone of proximal development

Question 46.46.

Tally, an 8-year-old, watches Claire climb the rock wall. Tally had been scared to try it until she saw Claire do it. This is an example of how Tally’s self efficacy can be raised through ____.

(Points : 2)

[removed] enactive attainments
[removed] vicarious experiences
[removed] verbal persuasion
[removed] physical state

Question 47.47. At the end of seventh grade Maria was doing great in her science class and really enjoyed it. She signed up for Mr. Turner’s advanced science next year. She was a bit nervous but thought to herself, “Sure it will be more challenging but I’ve done so well in science this year I bet I can handle it!”.

From the perspective of self efficacy the above description reflects the influence of ______ and should contribute ________ to Maria’s belief in her ability to ability to do well in the harder science class.
(Points : 3)

[removed] enactive attainments / positively

[removed] vicarious experiences / positively

[removed] verbal persuasion / negatively
[removed] verbal persuasion / positively

Question 48.48. During the first week of advanced science class Mr. Turner gave a pop quiz. Even though she read the chapter, Maria’s heart was racing and she got confused. She ‘blanked’ out on several questions. She did not score well. On seeing her score she thought to herself “I could have done better, but I was too nervous.”

From the perspective of self efficacy the above description reflects the influence of ______ and should contribute ________ to Maria’s belief in her ability to ability to do well in the harder science class. (Points : 2)

[removed] enactive attainments / positively
[removed] physical state / negatively

[removed] verbal persuasion / positively

[removed] vicarious experiences / negatively

Question 49.49.

How is a sense of self-efficacy related to persistence?

(Points : 2)

[removed] Children who have a positive sense of self-efficacy give up after they fail.
[removed] Children who have a low sense of self-efficacy try harder after they fail.
[removed] Children who fail often are more likely to believe the encouragement offered by others.
[removed] Children who have a low sense of self-efficacy are likely to give up after a failure experience.

Question 50.50.

Some children who perform well on standardized tests perceive themselves to be below average in academic ability. According to your text what might be one reason for this?

(Points : 2)

[removed] These children have parents who have a low opinion of their abilities.
[removed] These children have been praised too much by parents so they have no realistic standard by which to judge their abilities.
[removed] These children are good test takers, but they don’t perform well in school.
[removed] These children feel guilty about being so smart.

Question 51.51.

Team sports emphasize which of the following concepts?

(Points : 2)

[removed] the win-win approach to conflict resolution
[removed] conservation of volume
[removed] interdependence of team members
[removed] empathy with the victim

Question 52.52.

A student who believes in her ability to approach a new situation and “get the job done” demonstrates ____.

(Points : 2)

[removed] inertia
[removed] competence
[removed] responsibility
[removed] egocentrism

Question 53.53.

Which of the following is an example of a secondary sex characteristic?

(Points : 2)

[removed] onset of menarche
[removed] growth of the penis
[removed] maturation of breasts
[removed] production of mature sperm

Question 54.54.

Which of the following is a criticism of formal operational reasoning as a stage of cognitive development?

(Points : 2)

[removed] It does not describe the sensory based reasoning of which adolescents are capable.
[removed] It does not deal with the ability of adolescents to raise hypotheses about an unknown future.
[removed] It is not broad enough to encompass the many dimensions along which cognitive functioning changes in adolescence.
[removed] It includes too many dimensions such as the biological basis and social context of reasoning.

Question 55.55.

According to the text, egocentrism may best be described as ____.

(Points : 2)

[removed] an attitude children have that they are better than other people
[removed] a limited perspective a child displays at the beginning of each new phase of cognitive development
[removed] a feeling of self-admiration
[removed] a sense that one’s own peer group is better than other peer groups

Question 56.56.

Adolescents may believe that their thoughts and feelings are unique; that no one else is thinking what they are thinking. Elkind referred to this as ____.

(Points : 2)

[removed] a personal fable
[removed] a contextual dilemma
[removed] cognitive dissonance
[removed] an imaginary audience

Question 57.57.

Larson and Lampman-Petraitis gave electronic paging devices to monitor adolescents’ emotions. They found that adolescents experienced ____.

(Points : 2)

[removed] frequent, sudden shifts from intense anger to intense joy
[removed] more positive emotions than younger children
[removed] more mildly negative emotions than younger children
[removed] an increase in variability of emotions with age

Question 58.58.

Which of the following is an example of an internalizing problem?

(Points : 2)

[removed] feelings of worthlessness
[removed] feelings of hopefulness
[removed] feelings of aggression directed toward property
[removed] feelings of romantic attraction

Question 59.59.

According to your text, how is the problem of anorexia linked to the topic of emotional development?

(Points : 2)

[removed] Girls with anorexia have other externalizing problems as well.
[removed] Anorexia is associated with difficulties accepting and expressing emotions.
[removed] Anorexia is associated with difficulties in impulse control.
[removed] Guilt is not experienced among adolescents with anorexia.

Question 60.60.

Which of the following statements about peer pressure is most accurate?

(Points : 2)

[removed] Peer groups demand total conformity. There is little room for variations in temperament or behavior.
[removed] Most peer groups do not expect any significant level of conformity. They usually have an “anything goes” philosophy.
[removed] Peer pressure is usually exerted in a few select areas that give the group stability and help the individual members achieve a sense of group identity.
[removed] Adolescents are usually in great conflict with most of the expectations of their peer group.

Question 61.61.

Match the term and its definition.
(Points : 6)

 

Potential Matches:

1 : peer pressure

2 : Egocentrism

3 : Alienation

4 : group identity

5 : secular growth trend

6 : formal operations

 

Answer

[removed] : lack of connection or sense of belonging with a social group

[removed] : expectations and demands to conform to the norms of one’s peer group

[removed] : a tendency for earlier onset of puberty and achievement of adult height from one generation to the next

[removed] : a stage of cognitive development characterized by reasoning, hypothesis generating, and hypothesis testing

[removed] : a belief that others reason about situations in the same way, using the same logic that you use

[removed] : a sense of group belonging in which one’s special needs are met and one has a sense of social connection.

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Statistics For Psychology Assignment Help

Statistics For Psychology

33

Central Tendency and Variability

Chapter Outline

✪ Central Tendency 34

✪ Variability 43

✪ Controversy: The Tyranny of the Mean 52

✪ Central Tendency and Variability in Research Articles 55

A s we noted in Chapter 1, the purpose of descriptive statistics is to make a group of scores understandable. We looked at some ways of getting that un- derstanding through tables and graphs. In this chapter, we consider the main

statistical techniques for describing a group of scores with numbers. First, you can describe a group of scores in terms of a representative (or typical) value, such as an average. A representative value gives the central tendency of a group of scores. A representative value is a simple way, with a single number, to describe a group of scores (and there may be hundreds or even thousands of scores). The main represen- tative value we consider is the mean. Next, we focus on ways of describing how spread out the numbers are in a group of scores. In other words, we consider the amount of variation, or variability, among the scores. The two measures of variabil- ity you will learn about are called the variance and standard deviation.

In this chapter, for the first time in this book, you will use statistical formulas. Such formulas are not here to confuse you. Hopefully, you will come to see that they actually simplify things and provide a very straightforward, concise way of describ- ing statistical procedures. To help you grasp what such formulas mean in words, whenever we present formulas in this book we always also give the “translation” in ordinary English.

✪ Summary 57

✪ Key Terms 57

✪ Example Worked-Out Problems 57

✪ Practice Problems 59

✪ Using SPSS 62

✪ Chapter Notes 65

CHAPTER 2

T I P F O R S U C C E S S Before beginning this chapter, you should be sure you are comfort- able with the key terms of variable, score, and value that we consid- ered in Chapter 1.

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Statistics for Psychology, Fifth Edition, by Arthur Aron, Elaine N. Aron, and Elliot J. Coups. Published by Prentice Hall. Copyright © 2009 by Pearson Education, Inc.

34 Chapter 2

Central Tendency The central tendency of a group of scores (a distribution) refers to the middle of the group of scores. You will learn about three measures of central tendency: mean, mode, and median. Each measure of central tendency uses its own method to come up with a single number describing the middle of a group of scores. We start with the mean, the most commonly used measure of central tendency. Understanding the mean is also an important foundation for much of what you learn in later chapters.

The Mean Usually the best measure of central tendency is the ordinary average, the sum of all the scores divided by the number of scores. In statistics, this is called the mean. The average, or mean, of a group of scores is a representative value.

Suppose 10 students, as part of a research study, record the total number of dreams they had during the last week. The numbers of dreams were as follows:

7, 8, 8, 7, 3, 1, 6, 9, 3, 8

The mean of these 10 scores is 6 (the sum of 60 dreams divided by 10 students). That is, on the average, each student had 6 dreams in the past week. The information for the 10 students is thus summarized by the single number 6.

You can think of the mean as a kind of balancing point for the distribution of scores. Try it by visualizing a board balanced over a log, like a rudimentary teeter- totter. Imagine piles of blocks set along the board according to their values, one for each score in the distribution (like a histogram made of blocks). The mean is the point on the board where the weight of the blocks on one side balances exactly with the weight on the other side. Figure 2–1 shows this for the number of dreams for the 10 students.

Mathematically, you can think of the mean as the point at which the total distance to all the scores above that point equals the total distance to all the scores below that point. Let’s first figure the total distance from the mean to all the scores above the mean for the dreams example shown in Figure 2–1. There are two scores of 7, each of which is 1 unit above 6 (the mean). There are three scores of 8, each of which is 2 units above 6. And, there is one score of 9, which is 3 units above 6. This gives a total distance of 11 units from the mean to all the scores above the mean. Now, let’s look at the scores below the mean. There are two scores of 3, each of which is 3 units below 6 (the mean). And there is one score of 1, which is 5 units below 6. This gives a total distance of 11 units from the mean to all of the scores below the mean. Thus, you can see that the total distance from the mean to the scores above the mean is the same as the total distance from the mean to the scores below the mean. The scores above the mean balance out the scores below the mean (and vice-versa).

(3 + 3 + 5)

(1 + 1 + 2 + 2 + 2 + 3)

mean arithmetic average of a group of scores; sum of the scores divided by the number of scores.

5 6 7 8 91 2 3 4

M = 6

Figure 2–1 Mean of the distribution of the number of dreams during a week for 10 students, illustrated using blocks on a board balanced on a log.

central tendency typical or most representative value of a group of scores.

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Central Tendency and Variability 35

Some other examples are shown in Figure 2–2. Notice that there doesn’t have to be a block right at the balance point. That is, the mean doesn’t have to be a score ac- tually in the distribution. The mean is the average of the scores, the balance point. The mean can be a decimal number, even if all the scores in the distribution have to be whole numbers (a mean of 2.30 children, for example). For each distribution in Figure 2–2, the total distance from the mean to the scores above the mean is the same as the total distance from the mean to the scores below the mean. (By the way, this analogy to blocks on a board, in reality, works out precisely only if the board has no weight of its own.)

Formula for the Mean and Statistical Symbols The rule for figuring the mean is to add up all the scores and divide by the number of scores. Here is how this rule is written as a formula:

(2–1)

M is a symbol for the mean. An alternative symbol, (“X-bar”), is sometimes used. However, M is almost always used in research articles in psychology, as rec- ommended by the style guidelines of the American Psychological Association (2001). You will see used mostly in advanced statistics books and in articles about statistics. In fact, there is not a general agreement for many of the symbols used in statistics. (In this book we generally use the symbols most widely found in psychol- ogy research articles.) S, the capital Greek letter sigma, is the symbol for “sum of.” It means “add up

all the numbers for whatever follows.” It is the most common special arithmetic symbol used in statistics.

X stands for the scores in the distribution of the variable X. We could have picked any letter. However, if there is only one variable, it is usually called X. In later chapters we use formulas with more than one variable. In those formulas, we use a second letter along with X (usually Y ) or subscripts (such as and ).

is “the sum of X.” This tells you to add up all the scores in the distribution of the variable X. Suppose X is the number of dreams of our 10 students: X is

, which is 60.7 + 8 + 8 + 7 + 3 + 1 + 6 + 9 + 3 + 8 ©

©X X2X1

X

X

M = gX

N

M mean.

5 6 7 8 91 2 3 4

5 6 7 8 91 2 3 4

5 6 7 8 91 2 3 4

5 6 7 8 91 2 3 4

M = 6

M = 3.60

M = 6

M = 6

Figure 2–2 Means of various distributions illustrated with blocks on a board balanced on a log.

The mean is the sum of the scores divided by the number of scores.

S sum of; add up all the scores follow- ing this symbol.

X scores in the distribution of the variable X.

T I P F O R S U C C E S S Think of each formula as a statisti- cal recipe, with statistical symbols as ingredients. Before you use each formula, be sure you know what each symbol stands for. Then carefully follow the formula to come up with the end result.

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36 Chapter 2

N stands for number—the number of scores in a distribution. In our example, there are 10 scores. Thus, N equals 10.1

Overall, the formula says to divide the sum of all the scores in the distribution of the variable X by the total number of scores, N. In the dreams example, this means you divide 60 by 10. Put in terms of the formula,

Additional Examples of Figuring the Mean Consider the examples from Chapter 1. The stress ratings of the 30 students in the first week of their statistics class (based on Aron et al., 1995) were:

8, 7, 4, 10, 8, 6, 8, 9, 9, 7, 3, 7, 6, 5, 0, 9, 10, 7, 7, 3, 6, 7, 5, 2, 1, 6, 7, 10, 8, 8

In Chapter 1 we summarized all these numbers into a frequency table (Table 1–3). You can now summarize all this information as a single number by figuring the mean. Figure the mean by adding up all the stress ratings and dividing by the num- ber of stress ratings. That is, you add up the 30 stress ratings:

, for a total of 193. Then you divide this total by the number of scores, 30. In terms of the formula,

This tells you that the average stress rating was 6.43 (after rounding off). This is clearly higher than the middle of the 0–10 scale. You can also see this on a graph. Think again of the histogram as a pile of blocks on a board and the mean of 6.43 as the point where the board balances on the fulcrum (see Figure 2–3). This single rep- resentative value simplifies the information in the 30 stress scores.

M = gX

N =

193

30 = 6.43

7 + 5 + 2 + 1 + 6 + 7 + 10 + 8 + 8 8 + 6 + 8 + 9 + 9 + 7 + 3 + 7 + 6 + 5 + 0 + 9 + 10 + 7 + 7 + 3 + 6 +

8 + 7 + 4 + 10 +

M = gX

N =

60

10 = 6

N number of scores in a distribution.

T I P F O R S U C C E S S When an answer is not a whole number, we suggest that you use two more decimal places in the an- swer than for the original numbers. In this example, the original num- bers did not use decimals, so we rounded the answer to two deci- mal places.

7

6

5

4

3

2

1

0 0 1 2 3 4 5 6 7 8 9 10

Balance Point

F re

qu en

cy

6.43Stress Rating

Figure 2–3 Analogy of blocks on a board balanced on a fulcrum showing the means for 30 statistics students’ ratings of their stress level. (Data based on Aron et al., 1995.)

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Central Tendency and Variability 37

Similarly, consider the Chapter 1 example of students’ social interactions (McLaughlin-Volpe et al., 2001). The actual number of interactions over a week for the 94 students are listed on page 8. In Chapter 1, we organized the original scores into a frequency table (see Table 1–5). We can now take those same 94 scores, add them up, and divide by 94 to figure the mean:

This tells us that during this week these students had an average of 17.39 social in- teractions. Figure 2–4 shows the mean of 17.39 as the balance point for the 94 social interaction scores.

Steps for Figuring the Mean Figure the mean in two steps.

❶ Add up all the scores. That is, figure ΣX. ❷ Divide this sum by the number of scores. That is, divide ΣX by N.

The Mode The mode is another measure of central tendency. The mode is the most common single value in a distribution. In our dreams example, the mode is 8. This is because there are three students with 8 dreams and no other number of dreams with as many students. Another way to think of the mode is that it is the value with the largest frequency in a frequency table, the high point or peak of a distribution’s histogram (as shown in Figure 2–5).

M = gX

N =

1,635

94 = 17.39

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0 2.5 7.5 12.5 22.5 27.5 42.5 47.5

Number of Social Interactions in a Week

F re

qu en

cy

32.5 37.517.5

Balance Point

17.39

Figure 2–4 Analogy of blocks on a board balanced on a fulcrum illustrating the mean for number of social interactions during a week for 94 college students. (Data from McLaughlin-Volpe et al., 2001.)

mode value with the greatest frequency in a distribution.

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38 Chapter 2

In a perfectly symmetrical unimodal distribution, the mode is the same as the mean. However, what happens when the mean and the mode are not the same? In that situation, the mode is usually not a very good way of describing the central ten- dency of the scores in the distribution. In fact, sometimes researchers compare the mode to the mean to show that the distribution is not perfectly symmetrical. Also, the mode can be a particularly poor representative value because it does not reflect many aspects of the distribution. For example, you can change some of the scores in a distribution without affecting the mode—but this is not true of the mean, which is affected by any change in the distribution (see Figure 2–6).

5 6 7 8 91 2 3 4

Mode = 8

Figure 2–5 Mode as the high point in a distribution’s histogram, using the example of the number of dreams during a week for 10 students.

115 6 7 8 9 102 3 4

5 6 7 8 9 102 3 4

5 6 7 8 9 102 3 4

Mean = 8.30

Mode = 8

Mean = 5.10

Mode = 8

Mode = 8

Mean = 7

Figure 2–6 Effect on the mean and on the mode of changing some scores, using the example of the number of dreams during a week for 10 students.

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Central Tendency and Variability 39

7 7633 98881

Median

Figure 2–7 The median is the middle score when scores are lined up from lowest to highest, using the example of the number of dreams during a week for 10 students.

T I P F O R S U C C E S S When figuring the median, remem- ber that the first step is to line up the scores from lowest to highest. Forgetting to do this is the most common mistake students make when figuring the median.

median middle score when all the scores in a distribution are arranged from lowest to highest.

outlier score with an extreme value (very high or very low) in relation to the other scores in the distribution.

On the other hand, the mode is the usual way of describing the central tendency for a nominal variable. For example, if you know the religions of a particular group of people, the mode tells you which religion is the most frequent. However, when it comes to the numerical variables that are most common in psychology research, the mode is rarely used.

The Median Another alternative to the mean is the median. If you line up all the scores from low- est to highest, the middle score is the median. Figure 2–7 shows the scores for the number of dreams lined up from lowest to highest. In this example, the fifth and sixth scores (the two middle ones) are both 7s. Either way, the median is 7.

When you have an even number of scores, the median is between two different scores. In that situation, the median is the average (the mean) of the two scores.

Steps for Finding the Median Finding the median takes three steps.

❶ Line up all the scores from lowest to highest. ❷ Figure how many scores there are to the middle score by adding 1 to the num-

ber of scores and dividing by 2. For example, with 29 scores, adding 1 and divid- ing by 2 gives you 15. The 15th score is the middle score. If there are 50 scores, adding 1 and dividing by 2 gives you 251⁄2. Because there are no half scores, the 25th and 26th scores (the scores on either side of 251⁄2) are the middle scores.

❸ Count up to the middle score or scores. If you have one middle score, this is the median. If you have two middle scores, the median is the average (the mean) of these two scores.

Comparing the Mean, Mode, and Median Sometimes, the median is better than the mean (and mode) as a representative value for a group of scores. This happens when a few extreme scores would strongly affect the mean but would not affect the median. Reaction time scores are a common example in psychology research. Suppose you are asked to press a key as quickly as possible when a green circle is shown on the computer screen. On five showings of the green circle, your times (in seconds) to respond are .74, .86, 2.32, .79, and .81. The mean of these five scores is 1.1040: that is, . However, this mean is very much influenced by the one very long time (2.32 seconds). (Perhaps you were dis- tracted just when the green circle was shown.) The median is much less affected by the extreme score. The median of these five scores is .81—a value that is much more rep- resentative of most of the scores. Thus, using the median deemphasizes the one ex- treme time, which is probably appropriate. An extreme score like this is called an outlier. In this example, the outlier was much higher than the other scores, but in other cases an outlier may be much lower than the other scores in the distribution.

(©X)>N = 5.52> 5 = 1.1040

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40 Chapter 2

The importance of whether you use the mean, mode, or median can be seen in a controversy among psychologists studying the evolutionary basis of human mate choice. One set of theorists (e.g., Buss & Schmitt, 1993) argue that over their lives, men should prefer to have many partners, but women should prefer to have just one reliable partner. This is because a woman can have only a small number of children in a lifetime and her genes are most likely to survive if those few children are well taken care of. Men, however, can have a great many children in a lifetime. Therefore, according to the theory, a shotgun approach is best for men, because their genes are most likely to survive if they have a great many partners. Consistent with this assumption, evolutionary psycholo- gists have found that men report wanting far more partners than do women.

Other theorists (e.g., Miller & Fishkin, 1997), however, have questioned this view. They argue that women and men should prefer about the same number of partners. This is because individuals with a basic predisposition to seek a strong intimate bond are most likely to survive infancy. This desire for strong bonds, they argue, remains in adulthood. These theorists also asked women and men how many partners they wanted. They found the same result as the previous researchers when using the mean: men wanted an average of 64.3 partners, women an average of 2.8 partners. However, the picture looks drastically different if you look at the median or mode (see Table 2–1). Figure 2–8, taken directly from their article, shows why. Most women and most men want just one partner. A few want more, some many more. The big difference is that

P er

ce nt

ag e

of M

en a

nd W

om en

– – – –

60 – – – – –

50 – – – – –

40 – – – – –

30 – – – – –

20 – – – – –

10 – – – – –

0 – – 0 – 1 – 2 – 3 – 4 – 5 – 6 – 7 – 8 – 9 – 10 –

11 –2

0 – 21

–3 0 –

31 –4

0 – 41

–5 0 –

51 –6

0 – 61

–7 0 –

71 –8

0 – 81

–9 0 –

91 –1

00 –

10 0–

10 00

– 10

01 –1

00 00

Women %

Men %

Number of Partners Desired in the Next 30 Years

Women 2.8 1

Men 64.3 1

Mean Median

Measures of central tendency

Figure 2–8 Distributions for men and women for the ideal number of partners desired over 30 years. Note: To include all the data, we collapsed across categories farther out on the tail of these distributions. If every category represented a single number, it would be more apparent that the tail is very flat and that distributions are even more skewed than is apparent here.

Source: Miller, L. C., & Fishkin, S. A. (1997). On the dynamics of human bonding and reproductive suc- cess: Seeking windows on the adapted-for-human-environmental interface. In J. Simpson & D. T. Kenrick (Eds.), Evolutionary social psychology (pp. 197–235). Mahwah, NJ: Erlbaum.

Table 2–1 Responses of 106 Men and 160 Women to the Question, “How many partners would you ideally desire in the next 30 years?”

Mean Median Mode

Women 2.8 1 1

Men 64.3 1 1

Source: Data from Miller & Fishkin (1997).

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Central Tendency and Variability 41

there are a lot more men in the small group that want many more than one partner. These results were also replicated in a more recent study (Pedersen et al., 2002).

So which theory is right? You could argue either way from these results. The point is that focusing just on the mean can clearly misrepresent the reality of the distribution. As this example shows, the median is most likely to be used when a few extreme scores would make the mean unrepresentative of the main body of scores. Figure 2–9 illustrates this point, by showing the relative location of the mean, mode, and median for three types of distribution that you learned about in Chapter 1. The distribution in Figure 2–9a is skewed to the left (negatively skewed); the long tail of the distribution points to the left. The mode in this distribution is the highest point of the distribution, which is on the far right hand side of the distribution. The median is the point at which half of the scores are above that point and half are below. As you can see, for that to happen, the median must be a lower value than the mode. Finally, the mean is strongly influenced by the very low scores in the long tail of the distribution and is thus a lower value than the median. Figure 2–9b shows the location of the mean, mode, and median for a distribution that is skewed to the right (positively skewed). In this case, the mean is a higher value than either the mode or median because the mean is strongly influ- enced by the very high scores in the long tail of the distribution. Again, the mode is the highest point of the distribution, and the median is between the mode and the mean. In Figures 2–9a and 2–9b, the mean is not a good representative value of the scores, because it is unduly influenced by the extreme scores.

Mean Median Mode

MeanMedianMode

Mean Mode

Median

(a)

(b)

(c)

Figure 2–9 Locations of the mean, mode, and median on (a) a distribution skewed to the left, (b) a distribution skewed to the right, and (c) a normal curve.

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42 Chapter 2

Figure 2–9c shows a normal curve. As for any distribution, the mode is the high- est point in the distribution. For a normal curve, the highest point falls exactly at the midpoint of the distribution. This midpoint is the median value, since half of the scores in the distribution are below that point and half are above it. The mean also falls at the same point because the normal curve is symmetrical about the midpoint, and every score in the left hand side of the curve has a matching score on the right hand side. So, for a normal curve, the mean, mode, and median are always the same value.

In some situations psychologists use the median as part of more complex statis- tical methods. Also, the median is the usual way of describing the central tendency for a rank-order variable. Otherwise, unless there are extreme scores, psychologists almost always use the mean as the representative value of a group of scores. In fact, as you will learn, the mean is a fundamental building block for most other statistical techniques.

A summary of the mean, mode, and median as measures of central tendency is shown in Table 2–2.

Table 2–2 Summary of Measures of Central Tendency

Measure Definition When Used

How are you doing?

1. Name and define three measures of central tendency. 2. Write the formula for the mean and define each of the symbols. 3. Figure the mean of the following scores: 2, 8, 3, 6, and 6. 4. For the following scores find (a) the mean, (b) the mode, and (c) the median: 5,

3, 2, 13, 2. (d) Why is the mean different from the median?

Answers

1.The mean is the ordinary average, the sum of the scores divided by the num- ber of scores. The mode is the most frequent score in a distribution. The me- dian is the middle score; that is, if you line the scores up from lowest to highest, it is the halfway score.

2.The formula for the mean is is the mean; is the symbol for “sum of”—add up all the scores that follow; Xis the variable whose scores you are adding up; Nis the number of scores.

3.. 4.(a) The mean is 5; (b) the mode is 2; (c) the median is 3; (d) The mean is differ-

ent from the median because the extreme score (13) makes the mean higher than the median.

M=(©X)>N=(2+8+3+6+6)>5=5

g M=(©X)>N. M

Mean Sum of the scores divided by the number of scores

• With equal-interval variables • Very commonly used in psychology

research

Mode Value with the greatest frequency in a distribution

• With nominal variables • Rarely used in psychology research

Median Middle score when all the scores in a distribution are arranged from lowest to highest

• With rank-ordered variables • When a distribution has one or more

outliers • Rarely used in psychology research

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Central Tendency and Variability 43

(a) (b)

1.70 Mean

^ 3.20

Mean

^

3.20 Mean

^

3.20 Mean

^ 2.50

Mean

^

3.20 Mean

^

Figure 2–10 Examples of distributions with (a) the same mean but different amounts of spread, and (b) different means but the same amount of spread.

Variability Researchers also want to know how spread out the scores are in a distribution. This shows the amount of variability in the distribution. For example, suppose you were asked, “How old are the students in your statistics class?” At a city-based university with many returning and part-time students, the mean age might be 29. You could answer, “The average age of the students in my class is 29.” However, this would not tell the whole story. You could have a mean of 29 because every student in the class was exactly 29 years old. If this is the case, the scores in the distribution are not spread out at all. In other words, there is no variation, or variability, among the scores. You could also have a mean of 29 because exactly half the class members were 19 and the other half 39. In this situation, the distribution is much more spread out; there is considerable variability among the scores in the distribution.

You can think of the variability of a distribution as the amount of spread of the scores around the mean. Distributions with the same mean can have very different amounts of spread around the mean; Figure 2–10a shows histograms for three differ- ent frequency distributions with the same mean but different amounts of spread around the mean. A real-life example of this is shown in Figure 2–11, which shows the distributions of the housing prices in two neighborhoods: one with diverse hous- ing types and the other with a consistent type of housing. As with Figure 2–10a, the mean housing price is the same in each neighborhood. However, the distribution for

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44 Chapter 2

MeanHousing Prices

Neighborhood with Consistent Type of Housing

MeanHousing Prices

Neighborhood with Diverse Types of Housing

Figure 2–11 Example of two distributions with the same mean but different amounts of spread: housing prices for a neighborhood with diverse types of housing and for a neigh- borhood with a consistent type of housing.

variance measure of how spread out a set of scores are; average of the squared deviations from the mean.

deviation score score minus the mean.

squared deviation score square of the difference between a score and the mean.

the neighborhood with diverse housing types is much more spread out around the mean than the distribution for the neighborhood that has a consistent type of housing. This tells you that there is much greater variability in the prices of housing in the neighborhood with diverse types of housing than in the neighborhood with a consis- tent housing type. Also, distributions with different means can have the same amount of spread around the mean. Figure 2–10b shows three different distributions with dif- ferent means but the same amount of spread. So, while the mean provides a represen- tative value of a group of scores, it doesn’t tell you about the variability of the scores. You will now learn about two measures of the variability of a group of scores: the variance and standard deviation.2

The Variance The variance of a group of scores tells you how spread out the scores are around the mean. To be precise, the variance is the average of each score’s squared difference from the mean.

Here are the four steps to figure the variance:

❶ Subtract the mean from each score. This gives each score’s deviation score, which is how far away the score is from the mean.

❷ Square each of these deviation scores (multiply each by itself). This gives each score’s squared deviation score.

❸ Add up the squared deviation scores. This total is called the sum of squared deviations.

❹ Divide the sum of squared deviations by the number of scores. This gives the average (the mean) of the squared deviations, called the variance.

Suppose one distribution is more spread out than another. The more spread-out distribution has a larger variance because being spread out makes the deviation scores bigger. If the deviation scores are bigger, the squared deviation scores and the average of the squared deviation scores (the variance) are also bigger.

sum of squared deviations total of all the scores of each score’s squared dif- ference from the mean.

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Central Tendency and Variability 45

In the example of the class in which everyone was exactly 29 years old, the variance would be exactly 0. That is, there would be no variance (which makes sense, because there is no variability among the ages). (In terms of the numbers, each person’s deviation score would be ; 0 squared is 0. The average of a bunch of zeros is 0.) By contrast, the class of half 19-year-olds and half 39- year-olds would have a rather large variance of 100. (The 19-year-olds would each have deviation scores of . The 39-year-olds would have deviation scores of . All the squared deviation scores, which are either squared or 10 squared, come out to 100. The average of all 100s is 100.)

The variance is extremely important in many statistical procedures you will learn about later. However, the variance is rarely used as a descriptive statistic. This is be- cause the variance is based on squared deviation scores, which do not give a very easy-to-understand sense of how spread out the actual, nonsquared scores are. For ex- ample, a class with a variance of 400 clearly has a more spread-out distribution than one whose variance is 10. However, the number 400 does not give an obvious insight into the actual variation among the ages, none of which is anywhere near 400.3

The Standard Deviation The most widely used way of describing the spread of a group of scores is the standard deviation. The standard deviation is directly related to the variance and is figured by taking the square root of the variance. There are two steps in figuring the standard deviation.

❶ Figure the variance. ❷ Take the square root. The standard deviation is the positive square root of the

variance. (Any number has both a positive and a negative square root. For ex- ample, the square root of 9 is both and .)

If the variance of a distribution is 400, the standard deviation is 20. If the vari- ance is 9, the standard deviation is 3.

The variance is about squared deviations from the mean. Therefore, its square root, the standard deviation, is about direct, ordinary, not-squared deviations from the mean. Roughly speaking, the standard deviation is the average amount that scores differ from the mean. For example, consider a class where the ages have a standard deviation of 20 years. This tells you that the ages are spread out, on the average, about 20 years in each direction from the mean. Knowing the standard deviation gives you a general sense of the degree of spread.4

The standard deviation does not, however, perfectly describe the shape of the distribution. For example, suppose the distribution of the number of children in fam- ilies in a particular country has a mean of 4 and standard deviation of 1. Figure 2–12 shows several possibilities of the distribution of number of children, all with a mean of 4 and a standard deviation of 1.

Formulas for the Variance and the Standard Deviation We have seen that the variance is the average squared deviation from the mean. Here is the formula for the variance.

(2–2)SD2 = g(X – M)2

N

– 3+ 3

– 1039 – 29 = 10 19 – 29 = – 10

29 – 29 = 0

standard deviation square root of the average of the squared deviations from the mean; the most common descriptive statistic for variation; approximately the average amount that scores in a distribu- tion vary from the mean.

The variance is the sum of the squared deviations of the scores from the mean, divided by the number of scores.

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46 Chapter 2

SD2 variance.

SD standard deviation. SD2 is the symbol for the variance. This may seem surprising. SD is short for

standard deviation. The symbol SD2 emphasizes that the variance is the standard devi- ation squared. (Later, you will learn other symbols for the variance, S 2 and —the lowercase Greek letter sigma squared. The different symbols are for different situa- tions in which the variance is used. In some cases, it is figured slightly differently.)

The top part of the formula is the sum of squared deviations. X is for each score and M is the mean. Thus, X – M is the score minus the mean, the deviation score. The superscript number (2) tells you to square each deviation score. Finally, the sum sign (Σ) tells you to add up all these squared deviation scores.

The sum of squared deviations of the scores from the mean, which is called the sum of squares for short, has its own symbol, SS. Thus, the variance formula can be written using SS instead of Σ(X – M)2:

(2–3)

Whether you use the simplified symbol SS or the full description of the sum of squared deviations, the bottom part of the formula is just N, the number of scores.

SD2 = SS

N

�2sum of squares (SS) sum of squared deviations.

T I P F O R S U C C E S S The sum of squared deviations is an important part of many of the procedures you learn in later chap- ters; so be sure you fully under- stand it, as well as how it is figured.

0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7

0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7

Figure 2–12 Some possible distributions for family size in a country where the mean is 4 and the standard deviation is 1.

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Central Tendency and Variability 47

That is, the formula says to divide the sum of the squared deviation scores by the number of scores in the distribution.

The standard deviation is the square root of the variance. So, if you already know the variance, the formula is

(2–4)

The formula for the standard deviation, starting from scratch, is the square root of what you figure for the variance:

(2–5)

or

(2–6)

Examples of Figuring the Variance and Standard Deviation Table 2–3 shows the figuring for the variance and standard deviation for the number of dreams example. (The table assumes you have already figured the mean to be 6 dreams.) Usually, it is easiest to do your figuring using a calculator, especially one with a square root key. The standard deviation of 2.57 tells you that roughly speak- ing, on the average, the number of dreams vary by about 21⁄2 from the mean of 6.

Table 2–4 shows the figuring for the variance and standard deviation for the example of students’ number of social interactions during a week (McLaughlin- Volpe et al., 2001). (To save space, the table shows only the first few and last few scores.) Roughly speaking, this result tells you that a student’s number of social in- teractions in a week varies from the mean (of 17.39) by an average of 11.49. This can also be shown on a histogram (see Figure 2–13).

Measures of variability, such as the variance and standard deviation, are heavily influenced by the presence of one or more outliers (extreme values) in a distribution.

SD = A SS

N

SD = B ©(X – M)2

N

SD = 2SD2

Table 2–3 Figuring the Variance and Standard Deviation in the Number of Dreams Example

Score (Number of

Dreams) �

Mean Score (Mean Number

of Dreams) � Deviation

Score

Squared Deviation

Score

7 6 1 1

8 6 2 4

8 6 2 4

7 6 1 1

3 6 9

1 6 25

6 6 0 0

9 6 3 9

3 6 9

8 6 2 4

66

Standard deviation = SD = 2SD 2 = 26.60 = 2.57 Variance = SD 2 =

g(X – M )2

N =

SS N

= 66 10

= 6.60

©: 0

– 3

– 5 – 3

The standard deviation is the square root of the variance.

The standard deviation is the square root of the result of taking the sum of the squared deviations of the scores from the mean divided by the number of scores.

The standard deviation is the square root of the result of taking the sum of squares divided by the number of scores.

T I P F O R S U C C E S S When figuring the variance and standard deviation, lay your work out as in Tables 2–3 and 2–4. This helps you follow all the steps and end up with the correct answers.

T I P F O R S U C C E S S Always check that your answers make intuitive sense. For example, looking at the scores for the dreams example, a standard deviation— which, roughly speaking, repre- sents the average amount that the scores vary from the mean—of 2.57 makes sense. If your answer had been 21.23, however, it would mean that, on average, the number of dreams varied by more than 20 from the mean of 6. Looking at the group of scores, that just couldn’t be true.

T I P F O R S U C C E S S Notice in Table 2–3 that the devia- tion scores (shown in the third col- umn) add up to 0. The sum of the deviation scores is always 0 (or very close to 0, allowing for round- ing error). So, to check your figur- ing, always sum the deviation scores. If they do not add up to 0, do your figuring again!

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48 Chapter 2

Table 2–4 Figuring the Variance and Standard Deviation for Number of Social Interactions During a Week for 94 College Students

Number of Interactions �

Mean Number of Interactions �

Deviation Score

Squared Deviation

Score

48 17.39 30.61 936.97

15 17.39 5.71

33 17.39 15.61 243.67

3 17.39 207.07

21 17.39 3.61 13.03

– – – –

– – – –

– – – –

35 17.39 17.61 310.11 9 17.39 70.39

30 17.39 12.61 159.01

8 17.39 88.17

26 17.39 8.61 74.13

12,406.44

Source: Data from McLaughlin-Volpe et al. (2001).

Standard deviation = 2SD 2 = 2131.98 = 11.49 Variance = SD 2 =

g(X – M )2

N =

12,406.44 94

= 131.98

©: 0.00 – 9.39

– 8.39

– 14.39

– 2.39

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

2.5 7.5 12.5 17.5 22.5 27.5 32.5 37.5 42.5 47.5

Number of Social Interactions in a Week

F re

qu en

cy

^ ^ ^ ^ ^ ^ ^ ^ ^ ^

M 1 SD

FREQUENCY 12 16 16 16 10 11 4 3 3 3

INTERVAL 0 – 4 5 – 9

10 – 14 15 – 19 20 – 24 25 – 29 30 – 34 35 – 39 40 – 44 45 – 49

1 SD

Figure 2–13 The standard deviation as the distance along the base of a histogram, using the example of number of social interactions in a week. (Data from McLaughlin-Volpe et al., 2001.)

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Central Tendency and Variability 49

T I P F O R S U C C E S S A common mistake when figuring the standard deviation is to jump straight from the sum of squared deviations to the standard devia- tion (by taking the square root of the sum of squared deviations). Remember, before finding the standard deviation, first figure the variance (by dividing the sum of squared deviations by the number of scores, N). Then take the square root of the variance to find the standard deviation.

The scores in the number of dreams example were 7, 8, 8, 7, 3, 1, 6, 9, 3, 8, and we figured the standard deviation of the scores to be 2.57. Now imagine that one addi- tional person is added to the study and that the person reports having 21 dreams in the past week. The standard deviation of the scores would now be 4.96, which is almost double the size of the standard deviation without this additional single score.

Computational and Definitional Formulas In actual research situations, psychologists must often figure the variance and the standard deviation for distributions with many scores, often involving decimals or large numbers. In the days before computers, this could make the whole process quite time-consuming, even with a calculator. To deal with this problem, in the old days researchers developed various shortcuts to simplify the figuring. A shortcut for- mula of this type is called a computational formula.

The traditional computational formula for the variance of the kind we are dis- cussing in this chapter is as follows:

(2–7)

means that you square each score and then take the sum of the squared scores. However, means that you first add up all the scores and then take the square of this sum. Although this sounds complicated, this formula was actually eas- ier to use than the one you learned before if a researcher was figuring the variance for a lot of numbers by hand or even with an old-fashioned handheld calculator, be- cause the researcher did not have to first find the deviation score for each score.

However, these days computational formulas are mainly of historical interest. They are used by researchers only on rare occasions when computers with statistics software are not readily available to do the figuring. In fact, today, even many hand- held calculators are set up so that you need only enter the scores and press a button or two to get the variance and the standard deviation.

In this book we give a few computational formulas just so that you have them if you someday do a research project with a lot of numbers and you don’t have access to statistical software. However, we very definitely recommend not using the computa- tional formulas when you are learning statistics, even if they might save you a few min- utes of figuring a practice problem. The computational formulas usually make it much harder to understand the meaning of what you are figuring. The only reason for figuring problems at all by hand when you are learning statistics is to reinforce the underlying principles. Thus, you would be undermining the whole point of the practice problems if you use a formula that had a complex relation to the basic logic. The formulas we give you for the practice problems and for all the examples in the book are designed to help strengthen your understanding of what the figuring means. Thus, the usual formula we give for each procedure is what statisticians call a definitional formula.

The Importance of Variability in Psychology Research Variability is an important topic in psychology research because much of the re- search focuses on explaining variability. We will use a couple of examples to show what we mean by “explaining variability.” As you might imagine, different students experience different levels of stress with regard to learning statistics: Some experi- ence little stress; for other students, learning statistics can be a source of great stress. So, in this example, explaining variability means identifying the factors that explain why students differ in the amount of stress they experience. Perhaps how much experience students have had with math explains some of the variability. That is,

(©X)2 ©X2

SD2 = gX2 – A AgX B 2 > N B

N

computational formula equation mathematically equivalent to the defini- tional formula. Easier to use for figuring by hand, it does not directly show the meaning of the procedure.

definitional formula equation for a statistical procedure directly showing the meaning of the procedure.

The variance is the sum of the squared scores minus the result of taking the sum of all the scores, squaring this sum and dividing by the number of scores, then taking this whole difference and dividing it by the number of scores.

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50 Chapter 2

according to this explanation, the differences (the variability) among students in amount of stress are partially due to the differences (the variability) among students in the amount of experience they have had with math. Thus, the variation in math experience partially explains, or accounts for, the variation in stress. What factors might explain the variation in students’ number of weekly social interactions? Per- haps a factor is variation in the extraversion of students, with more extraverted stu- dents tending to have more interactions. Or perhaps it is variation in gender, with one gender having consistently more interactions than the other. Much of the rest of this book focuses on procedures for evaluating and testing whether variation in some specific factor (or factors) explains the variability in some variable of interest.

The Variance as the Sum of Squared Deviations Divided by Researchers often use a slightly different kind of variance. We have defined the vari- ance as the average of the squared deviation scores. Using that definition, you divide the sum of the squared deviation scores by the number of scores (that is, the variance is SS�N). But you will learn in Chapter 7 that for many purposes it is better to define the variance as the sum of squared deviation scores divided by 1 less than the number of scores. In other words, for those purposes the variance is the sum of squared deviations divided by (that is, variance is SS�[ ]). (As you will learn in Chapter 7, you use this dividing by approach when you have scores from a particular group of people and you want to estimate what the variance would be for the larger group of people whom these individuals represent.)

The variances and standard deviations given in research articles are usually fig- ured using SS�( ). Also, when calculators or computers give the variance or the standard deviation automatically, they are usually figured in this way (for exam- ple, see the Using SPSS section at the end of this chapter). But don’t worry. The ap- proach you are learning in this chapter of dividing by N (that is, figuring variance as SS�N) is entirely correct for our purpose here, which is to use descriptive statistics to describe the variation in a particular group of scores. It is also entirely correct for the material you learn in Chapters 3 through 6. We mention this other approach (vari- ance as SS�[ ]) now only so that you will not be confused if you read about variance or standard deviation in other places or if your calculator or a computer pro- gram gives a surprising result. To keep things simple, we wait to discuss the dividing by approach until it is needed, starting in Chapter 7. N – 1

N – 1

N – 1

N – 1 N – 1N – 1

N � 1

How are you doing?

1. (a) Define the variance and (b) indicate what it tells you about a distribution and how this is different from what the mean tells you.

2. (a) Define the standard deviation; (b) describe its relation to the variance; and (c) explain what it tells you approximately about a group of scores.

3. Give the full formula for the variance and indicate what each of the symbols means.

4. Figure the (a) variance and (b) standard deviation for the following scores: 2, 4, 3, and 7 ( ).

5. Explain the difference between a definitional and a computational formula. 6. What is the difference between the formula for the variance you learned in this

chapter and the formula that is typically used to figure the variance in re- search articles?

M = 4

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Central Tendency and Variability 51

Answers

1.(a) The variance is the average of the squared deviation of each score from the mean. (b) The variance tells you about how spread out the scores are (that is, their variability), while the mean tells you the central tendency of the distribution.

2.(a) The standard deviation is the square root of the average of the squared de- viations from the mean. (b) The standard deviation is the square root of the variance. (c) The standard deviation tells you approximately the average amount that scores differ from the mean.

3.is the variance.means the sum of what follows. Xis for the scores for the variable being studied. Mis the mean of the scores. Nis the number of scores.

4. (a)Variance:

(b) Standard deviation: 5.A definitional formula is the standard formula in the straightforward form that

shows the meaning of what the formula is figuring. A computational formula is a mathematically equivalent variation of the definitional formula, but the com- putational formula tends not to show the underlying meaning. Computational formulas were often used before computers were available and researchers had to do their figuring by hand with a lot of scores.

6.The formula for the variance in this chapter divides the sum of squares by the number of scores (that is, SS�N). The variance in research articles is usually figured by dividing the sum of squares by one less than the number of scores (that is, SS�[]). N-1

SD=2SD 2

=23.50=1.87. 14>4=3.50. (7-4)

2 ]>4=

SD 2 =[©(X-M)

2 ]>N=[(2-4)

2 +(4-4)

2 +(3-4)

2 +

© SD 2

=[©1X-M2 2 ]>N. SD

2

You are learning statistics for the fun of it, right? No? Or maybe so, after all. If you become a psychologist, at some time or other you will form a hypothesis, gather data, and analyze them. (Even if you plan a career as a psychother- apist or other mental health practitioner, you will proba- bly eventually wish to test an idea about the nature of your patients and their difficulties.) That hypothesis— your own original idea—and the data you gather to test it are going to be very important to you. Your heart may well be pounding with excitement as you analyze the data.

Consider some of the comments of social psycholo- gists we interviewed for our book The Heart of Social Psychology (Aron & Aron, 1989). Deborah Richardson, who studies interpersonal relationships, confided that her favorite part of being a social psychologist is looking at the statistical output of the computer analyses:

It’s like putting together a puzzle. . . . It’s a highly arous- ing, positive experience for me. I often go through periods

of euphoria. Even when the data don’t do what I want them to do . . . [there’s a] physiological response. . . . It’s exciting to see the numbers come off—Is it actually the way I thought it would be?—then thinking about the alternatives.

Harry Reis, former editor of the Journal of Personality and Social Psychology, sees his profession the same way:

By far the most rewarding part is when you get a new data set and start analyzing it and things pop out, partly a confirmation of what led you into the study in the first place, but then also other things. . . . “Why is that?” Trying to make sense of it. The kind of ideas that come from data. . . . I love analyzing data.

Bibb Latane, an eminent psychologist known for, among other things, his work on why people don’t al- ways intervene to help others who are in trouble, reports eagerly awaiting

B O X 2 – 1 The Sheer Joy (Yes, Joy) of Statistical Analysis

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52 Chapter 2

Controversy: The Tyranny of the Mean Looking in the behavioral and social science research journals, you would think that statistical methods are their sole tool and language, but there have also been rebel- lions against the reign of statistics. We are most familiar with this issue in psychology, where the most unexpected opposition came from the leader of behaviorism, the school of psychology most dedicated to keeping the field strictly scientific.

Behaviorism opposed the study of inner states because inner events are impossi- ble to observe objectively. (Today most research psychologists claim to measure inner events indirectly but objectively.) Behaviorism’s most famous advocate, B. F. Skinner, was quite opposed to statistics. Skinner even said, “I would much rather see a graduate student in psychology taking a course in physical chemistry than in statistics. And I would include [before statistics] other sciences, even poetry, music, and art” (Evans, 1976, p. 93).

Skinner was constantly pointing to the information lost by averaging the results of a number of cases. For instance, Skinner (1956) cited the example of three overeating mice—one naturally obese, one poisoned with gold, and one whose hy- pothalamus had been altered. Each had a different curve for learning to press a bar for food. If these learning curves had been summed or merged statistically, the result would have represented no actual eating habits of any real mouse. As Skinner said, “These three individual curves contain more information than could probably ever be generated with measures requiring statistical treatment, yet they will be viewed with suspicion by many psychologists because they are single cases” (p. 232).

In clinical psychology and the study of personality, voices have always been raised in favor of the in-depth study of one person instead of or as well as the aver- aging of persons. The philosophical underpinnings of the in-depth study of individ- uals can be found in phenomenology, which began in Europe after World War I (Husserl, 1970). This viewpoint has been important throughout the social sciences, not just in psychology.

Today, the rebellion in psychology is led by qualitative research methodologists (e.g., McCracken, 1988), an approach that is much more prominent in other behav- ioral and social sciences. The qualitative research methods, developed mainly in an- thropology, can involve long interviews or observations of a few individuals. The highly skilled researcher decides, as the event is taking place, what is important to remember, record, and pursue through more questions or observations. The mind of the researcher is the main tool because, according to this approach, only that mind can find the important relationships among the many categories of events arising in the respondent’s speech.

Many who favor qualitative methods argue for a blend: First, discover the im- portant categories through a qualitative approach. Then, determine their incidence in

. . . the first glimmerings of what came out . . . [and] using them to shape what the next question should be . . . You need to use everything you’ve got, . . . every bit of your experience and intuition. It’s where you have the biggest effect, it’s the least routine. You’re in the room with the tiger, face to face with the core of what you are doing, at the moment of truth.

Bill Graziano, whose work integrates developmental, personality, and social psychology, calls the analysis of his data “great fun, just great fun.” And in the same vein, Margaret Clark, who studies emotion and cognition, de- clares that “the most fun of all is getting the data and looking at them.”

So you see? Statistics in the service of your own cre- ative ideas can be a pleasure indeed.

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Central Tendency and Variability 53

the larger population through quantitative methods. Too often, these advocates argue, quantitative researchers jump to conclusions about a phenomenon without first exploring the human experience of it through free-response interviews or observations.

Finally, Carl Jung, founder of Jungian psychology, sometimes spoke of the “sta- tistical mood” and its effect on a person’s feeling of uniqueness. Jung had no prob- lem with statistics—he used them in his own research. He was concerned about the cultural impact of this “statistical mood”—much like the impact of being on a jammed subway and observing the hundreds of blank faces and feeling diminished, “one of a crowd.” He held that the important contributions to culture tend to come from people who feel unique and not ordinary. As we increasingly describe our- selves statistically—“90% of men under thirty think . . .”—we tend to do just that, think like 90% of men under thirty. To counteract this mood, Jungian analyst Marie Louise von Franz (1979) wrote, “An act of loyalty is required towards one’s own feelings” (pp. IV-18). Feeling “makes your life and your relationships and deeds feel unique and gives them a definite value” (pp. IV-18–IV-19). Your beloved is like no one else. Your own death is a face behind a door. And the meaning of ‘civilian deaths this month due to the war were 20,964’ is unfathomable horror—not a number.

In short, there have been many who have questioned an exclusively statistical view of our subject matter, and their voices should be considered too as you proceed with your study of what has become the predominant, but not exclusive, means of doing psychology research.

B O X 2 – 2 Gender, Ethnicity, and Math Performance From time to time, someone tries to argue that because some groups of people score better on math tests and make careers out of mathematics, these groups have a genetic advantage in math (or statistics). Other groups are said or implied to be innately inferior at math. The issue comes up about gender, about racial and ethnic groups, and of course in arguments about overall intelli- gence as well as math. There’s little evidence for such genetic differences (a must-see article is Block, 1995), but the stereotypes persist.

The impact of these stereotypes has been well estab- lished in research by Steele and his colleagues (1997), who have done numerous studies on what they call “stereo- type threat.” This phenomenon occurs when a negative stereotype about a group you belong to becomes relevant to you because of the situation you are in, like taking a math test, and provides an explanation for how you will behave. A typical experiment creating stereotype threat (Spencer et al., 1999) involved women taking a difficult math test. Half were told that men generally do better on the test, and the other half that women generally do equally well. Those who were told that women do worse did indeed score substantially lower than the other group. In the other condition, there was no difference. (In fact, in

two separate studies, men performed a little worse when they were told there was no gender difference, as if they had lost some of their confidence.)

The same results occur when African Americans are given parts of the graduate record examination. They do fine on the test when they are told no racial differences in the scores have been found, and they do worse when they are told that such differences have been found (Steele, 1997).

Stereotype threat has also been found to occur in the United States for Latinos (Gonzales et al., 2002) and the poor (Croizet & Claire, 1998). Many lines of research in- dicate that prejudices, not genetics, are the probable cause of differences in test scores between groups. Al- though some researchers (Rushton & Jensen, 2005) con- tinue to argue for genetic differences, the evidence is still substantial that stereotype threat plays the main role in lower test scores (Suzuki & Aronson, 2005). For exam- ple, the same difference of 15 IQ points between a domi- nant and minority group has been found all over the world, even when there is no genetic difference between the groups, and in cases where opportunities for a group have changed, such as when they emigrate, differences have rapidly disappeared (Block, 1995).

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If groups such as women and African Americans are not inherently inferior but perform worse on tests, what might be the reasons? The usual explanation is that they have internalized the “superior” group’s prejudices. Steele thinks the problem might not be so internal but may have to do with the situation. The stigmatized groups perform worse when they know that’s what is expected—when they experience the threat of being stereotyped. They either become too anxious or give up and avoid the subject.

What Can You Do for Yourself? So, do you feel you belong to a group that is expected to do poorly at math? (Perhaps the group of “math dumb- bells” in the class?) What can you do to get out from under the shadow of stereotype threat as you take this course?

First, care about learning statistics. Don’t discount it to save your self-esteem. Fight for your right to know this subject. Consider these words from the former presi- dent of the Mathematics Association of America:

The paradox of our times is that as mathematics becomes increasingly powerful, only the powerful seem to benefit from it. The ability to think mathematically—broadly interpreted—is absolutely crucial to advancement in vir- tually every career. Confidence in dealing with data, skepticism in analyzing arguments, persistence in pene- trating complex problems, and literacy in communicating about technical matters are the enabling arts offered by the new mathematical sciences. (Steen, 1987, p. xviii)

Second, once you care about succeeding at statistics, realize you are going to be affected by stereotype threat. Think of it as a stereotype-induced form of test anxiety and work on it that way (see Box 1–2).

Third, root out the effects of that stereotype in your- self as much as you can. It takes some effort. That’s why we are spending time on it here. Research on stereotypes shows that they can be activated without our awareness (Fiske, 1998), even when we are otherwise low in preju- dice or a member of the stereotyped group.

Some Points to Think About For women, yes, the very top performers tend to be male, but the differences are slight, and the lowest performers are not more likely to be female. Indeed, gender differ- ences on test performance have been declining (National Center for Education Statistics, 2001). Tobias (1982) cites numerous studies for why women might not make it to the very top in math. For example, in a study of students identified by a math talent search, it was found that few

parents arranged for their daughters to be coached before the talent exams. Sons were almost invariably coached. In another study, parents of mathematically gifted girls were not even aware of their daughters’ abilities, whereas par- ents of boys invariably were. In general, girls tend to avoid higher math classes, according to Tobias, because parents, peers, and even teachers often advise them against pursuing too much math. Indeed, mothers’ views of their child’s math abilities are strong predictors of their later performance (Bleeker & Jacobs, 2004). Girls fre- quently outperform boys in math, yet still greatly under- estimate their abilities (Heller & Ziegler, 1996). So, even though women are earning more PhDs in math than ever before, it is not surprising that math is the field with the highest dropout rate for women.

We checked the grades in our own introductory statis- tics classes and found no reliable difference for gender. More generally, Schram (1996) analyzed results of 13 in- dependent studies of performance in college statistics and found an overall average difference of almost exactly zero (the slight direction of difference favored females). Steele (1997) also found that the grades of African Americans, for example, rose substantially when they were enrolled in a transition-to-college program emphasizing that they were the cream of the crop and much was expected of them. Meanwhile, African American students at the same school who were enrolled in a remedial program for mi- norities received considerable attention, but their grades improved very little and many more of them dropped out of school than in the other group. Steele argues that the very idea of a remedial program exposed those students to a subtle stereotype threat.

Cognitive research on stereotype threat has demon- strated that it most affects math problems relying on long- term memory and spills over into subsequent tasks not normally affected by stereotype threat (Beilock et al., 2007).

Another point to ponder is a study cited by Tobias (1995) comparing students in Asia and the United States on an international mathematics test. The U.S. stu- dents were thoroughly outperformed, but more important was why: Interviews revealed that Asian students saw math as an ability fairly equally distributed among people and thought that differences in performance were due to hard work. Contrarily, U.S. students thought some people are just born better at math; so hard work matters little.

In short, our culture’s belief that “math just comes naturally to some people” could be holding you back. But then, doing well in this course may even be more sat- isfying for you than for others.

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Central Tendency and Variability 55

Central Tendency and Variability in Research Articles The mean and the standard deviation are very commonly reported in research arti- cles. However, the mode, median, and variance are only occasionally reported. Sometimes the mean and standard deviation are included in the text of an article. For our dreams example, the researcher might write, “The mean number of dreams in the last week for the 10 students was 6.00 ( ).” Means and standard deviations are also often listed in tables, especially if a study includes several groups or several different variables. For example, Selwyn (2007) conducted a study of gender-related perceptions of information and communication technologies (such as games ma- chines, DVD players, and cell phones). The researcher asked 406 college students in Wales to rate 8 technologies in terms of their level of masculinity or femininity. The students rated each technology using a 7-point response scale, from for very fem- inine to for very masculine, with a midpoint of 0 for neither masculine or femi- nine. Table 2–5 (reproduced from Selwyn’s article) shows the mean, standard deviation, and variance of the students’ ratings of each technology. As the table shows, games machines were rated as being more masculine than feminine, and land- line telephones were rated as being slightly more feminine than masculine. Notice that Table 2–5 is one of those rare examples where the variance is shown (usually just the standard deviation is given). Overall, the table provides a useful summary of the descriptive results of the study. In another part of the study, Selwyn compared women’s and men’s perceptions of the masculinity or femininity of different aspects of computers and computing. We will describe those results in Chapter 8; so be sure to look out for them!

Another interesting example is shown in Table 2–6 (reproduced from Norcross et al., 2005). The table shows the application and enrollment statistics for psychology doctoral programs in the United States, broken down by area of psychology and by year (1973, 1979, 1992, and 2003). The table does not give standard deviations, but it does give both means and medians. For example, in 2003 the mean number of ap- plicants to doctoral counseling psychology programs was 71.0, but the median was only 59. This suggests that some programs had very high numbers of applicants that

+ 3 – 3

SD = 2.57

Table 2–5 Mean Scores for Each Technology

N Mean S.D. Variance

Games machine (e.g., Playstation) 403 1.92 1.00 .98

DVD Player 406 .44 .85 .73

Personal Computer (PC) 400 .36 .82 .68

Digital radio (DAB) 399 .34 .99 .98

Television set 406 .26 .78 .62

Radio 404 .81 .65

Mobile phone 399 .88 .77

Landline telephone 404 1.03 1.07

Note: Mean scores range from �3 (very feminine) to +3 (very masculine). The midpoint score of .0 denotes “neither masculine nor feminine.” Source: Selwyn, N. (2007). Hi-tech = guy-tech? An exploration of undergraduate students’ gendered perceptions of information and communication technologies. Sex Roles, 56, 525–536. Copyright © 2007. Reprinted by permission of Springer Science and Business Media.

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Central Tendency and Variability 57

skewed the distribution. In fact, you can see from the table that for almost every kind of program and for both applications and enrollments, the means are typically higher than the medians. You may also be struck by just how competitive it is to get into doctoral programs in many areas of psychology. It is our experience that one of the factors that makes a lot of difference is doing well in statistics courses!

1. The mean is the most commonly used measure of central tendency of a distrib- ution of scores. The mean is the ordinary average—the sum of the scores divided by the number of scores. In symbols, .

2. Other, less commonly used ways of describing the central tendency of a distribu- tion of scores are the mode (the most common single value) and the median (the value of the middle score when all the scores are lined up from lowest to highest).

3. The variability of a group of scores can be described by the variance and the standard deviation.

4. The variance is the average of the squared deviation of each score from the mean. In symbols, . The sum of squared deviations,

, is also symbolized as SS. Thus . 5. The standard deviation is the square root of the variance. In symbols,

It is approximately the average amount that scores differ from the mean.

6. There have always been a few psychologists who have warned against statistical methodology because in the process of creating averages, knowledge about the individual case is lost.

7. Means and standard deviations are often given in research articles in the text or in tables.

SD = 2SD2. SD2 = SS>N©(X – M)2

SD2 = [©(X – M)2]> N

M = (©X)>N

Summary

Figuring the Mean Find the mean for the following scores: 8, 6, 6, 9, 6, 5, 6, 2.

Answer You can figure the mean using the formula or the steps.

Using the formula: . Using the steps:

❶ Add up all the scores. . ❷ Divide this sum by the number of scores. .48> 8 = 6

8 + 6 + 6 + 9 + 6 + 5 + 6 + 2 = 48

M = (©X)> N = 48> 8 = 6

Example Worked-Out Problems

Key Terms

central tendency (p. 34) mean (M) (pp. 34, 35) Σ (sum of ) (p. 35) X (p. 35) N (number of scores) (p. 36) mode (p. 37) median (p. 39)

outlier (p. 39) variance (SD2 ) (p. 44) deviation score (p. 44) squared deviation score (p. 44) sum of squared deviations (sum of

squares) (SS ) (pp. 44, 46) standard deviation (SD) (p. 45)

SD2 (p. 46) SD (p. 46) computational formula (p. 49) definitional formula (p. 49)

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58 Chapter 2

Finding the Median Find the median for the following scores: 1, 7, 4, 2, 3, 6, 2, 9, 7.

Answer ❶ Line up all the scores from lowest to highest. 1, 2, 2, 3, 4, 6, 7, 7, 9. ❷ Figure how many scores there are to the middle score by adding 1 to the

number of scores and dividing by 2. There are 9 scores; so the middle score is the result of adding 1 to 9 and then dividing by 2, which is 5. The middle score is the fifth score.

❸ Count up to the middle score or scores. The fifth score from the bottom is 4; so the median is 4.

Figuring the Sum of Squares and the Variance Find the sum of squares and the variance for the following scores: 8, 6, 6, 9, 6, 5, 6, 2. (These are the same scores used in the previous example for the mean: .)

Answer You can figure the sum of squares and the variance using the formulas or the steps.

Using the formulas:

Table 2–7 shows the figuring, using the following steps:

❶ Subtract the mean from each score. ❷ Square each of these deviation scores. ❸ Add up the squared deviation scores. This gives the sum of squares (SS). ❹ Divide the sum of squared deviations by the number of scores. This gives the

variance (SD2).

SD2 = SS>N = 30> 8 = 3.75. = 30 = 4 + 0 + 0 + 9 + 0 + 1 + 0 + 16

= 22 + 02 + 02 + 32 + 02 + – 12 + 02 + – 42 + (9 – 6)2 + (6 – 6)2 + (5 – 6)2 + (6 – 6)2 + (2 – 6)2

SS = ©(X – M)2 = (8 – 6)2 + (6 – 6)2 + (6 – 6)2

M = 6

Table 2–7 Figuring for Example Worked-Out Problem for the Sum of Squares and Variance Using Steps

❶ ❷

Score Mean Deviation Squared Deviation

8 6 2 4

6 6 0 0

6 6 0 0

9 6 3 9

6 6 0 0

5 6 1

6 6 0 0

2 6 16

❸ ❹ Variance = 30/ 8 = 3.75

© = SS = 30 – 4

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Central Tendency and Variability 59

Figuring the Standard Deviation Find the standard deviation for the following scores: 8, 6, 6, 9, 6, 5, 6, 2. (These are the same scores used above for the mean, sum of squares, and variance. .)

Answer You can figure the standard deviation using the formula or the steps.

Using the formula: . Using the steps:

❶ Figure the variance. The variance (from above) is 3.75. ❷ Take the square root. The square root of 3.75 is 1.94.

Outline for Writing Essays on Finding the Mean, Variance, and Standard Deviation

1. Explain that the mean is a measure of the central tendency of a group of scores. Mention that the mean is the ordinary average, that is, the sum of the scores divided by the number of scores.

2. Explain that the variance and standard deviation both measure the amount of variability (or spread) among a group of scores.

3. The variance is the average of each score’s squared difference from the mean. Describe the steps for figuring the variance.

4. Roughly speaking, the standard deviation is the average amount that scores dif- fer from the mean. Explain that the standard deviation is directly related to the variance and is figured by taking the square root of the variance.

SD = 2SD2 = 23.75 = 1.94

SD2 = 3.75

These problems involve figuring. Most real-life statistics problems are done on a computer with special statistical software. Even if you have such software, do these problems by hand to ingrain the method in your mind. To learn how to use a comput- er to solve statistics problems like those in this chapter, refer to the Using SPSS sec- tion at the end of this chapter and the Study Guide and Computer Workbook that accompanies this text.

All data are fictional unless an actual citation is given.

Set I (for Answers to Set I Problems, see pp. 674–675) 1. For the following scores, find the (a) mean, (b) median, (c) sum of squared

deviations, (d) variance, and (e) standard deviation:

32, 28, 24, 28, 28, 31, 35, 29, 26

2. For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:

6, 1, 4, 2, 3, 4, 6, 6

3. For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:

2.13, 6.01, 3.33, 5.78

Practice Problems

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60 Chapter 2

4. Here are the noon temperatures (in degrees Celsius) in a particular Canadian city on Boxing Day (usually December 26) for the 10 years from 1998 through 2007: , , , 0, , , , , and . Describe the typical tem- perature and the amount of variation to a person who has never had a course in statistics. Give three ways of describing the representative temperature and two ways of describing its variation, explaining the differences and how you figured each. (You will learn more if you try to write your own answer first, before read- ing our answer at the back of the book.)

5. A researcher is studying the amygdala (a part of the brain involved in emotion). Six participants in a particular fMRI (brain scan) study are measured for the increase in activation of their amygdala while they are viewing pictures of violent scenes. The activation increases are .43, .32, .64, .21, .29, and .51. Figure the (a) mean and (b) standard deviation for these six activation increases. (c) Explain what you have done and what the results mean to a person who has never had a course in statistics.

6. Describe and explain the location of the mean, mode, and median for a normal curve.

7. A researcher studied the number of anxiety attacks recounted over a two-week period by 30 people in psychotherapy for an anxiety disorder. In an article de- scribing the results of the study, the researcher reports: “The mean number of anxiety attacks was 6.84 ( ).” Explain these results to a person who has never had a course in statistics.

8. In a study by Gonzaga et al. (2001), romantic couples answered questions about how much they loved their partner and also were videotaped while revealing something about themselves to their partner. The videotapes were later rated by trained judges for various signs of affiliation. Table 2–8 (reproduced from their Table 2) shows some of the results. Explain to a person who has never had a course in statistics the results for self-reported love for the partner and for the number of seconds “leaning toward the partner.”

Set II 9. (a) Describe and explain the difference between the mean, median, and mode. (b)

Make up an example (not in the book or in your lectures) in which the median would be the preferred measure of central tendency.

SD = 3.18

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Table 2–8 Mean Levels of Emotions and Cue Display in Study 1

Women ( ) Men ( )

Indicator M SD M SD

Emotion reports

Self-reported love 5.02 2.16 5.11 2.08

Partner-estimated love 4.85 2.13 4.58 2.20

Affiliation-cue display

Affirmative head nods 1.28 2.89 1.21 1.91

Duchenne smiles 4.45 5.24 5.78 5.59

Leaning toward partner 32.27 20.36 31.36 21.08

Gesticulation 0.13 0.40 0.25 0.77

Note: Emotions are rated on a scale of 0 (none) to 8 (extreme). Cue displays are shown as mean seconds displayed per 60 s. Source: Gonzaga, G. C., Keltner, D., Londahl, E. A., & Smith, M. D. (2001). Love and the commitment problem in romantic relationships and friendship. Journal of Personality and Social Psychology, 81, 247–262. Published by the American Psychological Association. Reprinted with permission.

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Central Tendency and Variability 61

10. (a) Describe the variance and standard deviation. (b) Explain why the standard deviation is more often used as a descriptive statistic than the variance.

11. For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:

2, 2, 0, 5, 1, 4, 1, 3, 0, 0, 1, 4, 4, 0, 1, 4, 3, 4, 2, 1, 0

12. For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:

1,112; 1,245; 1,361; 1,372; 1,472

13. For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:

3.0, 3.4, 2.6, 3.3, 3.5, 3.2

14. For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:

8, –5, 7, –10, 5

15. Make up three sets of scores: (a) one with the mean greater than the median, (b) one with the median and the mean the same, and (c) one with the mode greater than the median. (Each made-up set of scores should include at least five scores.)

16. A psychologist interested in political behavior measured the square footage of the desks in the official office of four U.S. governors and of four chief executive offi- cers (CEOs) of major U.S. corporations. The figures for the governors were 44, 36, 52, and 40 square feet. The figures for the CEOs were 32, 60, 48, and 36 square feet. (a) Figure the means and standard deviations for the governors and for the CEOs. (b) Explain, to a person who has never had a course in statistics, what you have done. (c) Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming that they are representative of U.S. governors and large corporations’ CEOs in general.

17. A developmental psychologist studies the number of words that seven infants have learned at a particular age. The numbers are 10, 12, 8, 0, 3, 40, and 18. Fig- ure the (a) mean, (b) median, and (c) standard deviation for the number of words learned by these seven infants. (d) Explain what you have done and what the re- sults mean to a person who has never had a course in statistics.

18. Describe and explain the location of the mean, mode, and median of a distribu- tion of scores that is strongly skewed to the left.

19. You figure the variance of a distribution of scores to be – 4.26. Explain why your answer cannot be correct.

20. A study involves measuring the number of days absent from work for 216 em- ployees of a large company during the preceding year. As part of the results, the researcher reports, “The number of days absent during the preceding year ( ) was . . . .” Explain what is written in parentheses to a person who has never had a course in statistics.

21. Payne (2001) gave participants a computerized task in which they first see a face and then a picture of either a gun or a tool. The task was to press one button if it was a tool and a different one if it was a gun. Unknown to the participants while they were doing the study, the faces served as a “prime” (something that starts you thinking a particular way); half the time they were of a black person and half the time of a white person. Table 2–9 shows the means and standard de- viations for reaction times (the time to decide if the picture is of a gun or a tool) after either a black or white prime. (In Experiment 2, participants were told to

M = 9.21; SD = 7.34

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62 Chapter 2

decide as fast as possible.) Explain the results to a person who has never had a course in statistics. (Be sure to explain some specific numbers as well as the general principle of the mean and standard deviation.)

Table 2–9 Mean Reaction Times (in Milliseconds) in Identifying Guns and Tools in Experiments 1 and 2

Prime

Black White

Target M SD M SD

Experiment 1

Gun 423 64 441 73

Tool 454 57 446 60

Experiment 2

Gun 299 28 295 31

Tool 307 29 304 29

Source: Payne, B. K. (2001). Prejudice and perception: The role of automatic and controlled processes in misperceiving a weapon. Journal of Personality and Social Psychology, 81, 181–192. Published by the American Psychological Association. Reprinted with permission.

Using SPSS

The U in the following steps indicates a mouse click. (We used SPSS version 15.0 to carry out these analyses. The steps and output may be slightly different for other versions of SPSS.)

Finding the Mean, Mode, and Median ❶ Enter the scores from your distribution in one column of the data window. ❷ U Analyze. ❸ U Descriptive statistics. ❹ U Frequencies. ➎ U on the variable for which you want to find the mean, mode, and median, and

then U the arrow. ➏ Statistics. ❼ U Mean, U Median, U Mode, U Continue. ❽ Optional: To instruct SPSS not to produce a frequency table, U the box labeled

Display frequency tables (this unchecks the box). ❾ U OK.

Practice the steps above by finding the mean, mode, and median for the number of dreams example at the start of the chapter (the scores are 7, 8, 8, 7, 3, 1, 6, 9, 3, 8). Your output window should look like Figure 2–14. (If you instructed SPSS not to show the frequency table, your output will show only the mean, median, and mode.)

Finding the Variance and Standard Deviation As mentioned earlier in the chapter, most calculators and computer software— including SPSS—calculate the variance and standard deviation using a formula that involves dividing by N – 1 instead of N. So, if you request the variance and standard

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Central Tendency and Variability 63

deviation directly from SPSS (for example, by clicking Variance and Std. deviation in Step ❼), the answers provided by SPSS will be different from the answers in this chapter.5 The following steps show you how to use SPSS to figure the variance and standard deviation using the dividing-by-N method you learned in this chapter. It is easier to learn these steps using actual numbers; so we will use the number of dreams example again.

❶ Enter the scores from your distribution in one column of the data window (the scores are 7, 8, 8, 7, 3, 1, 6, 9, 3, 8). We will call this variable “dreams.”

❷ Find the mean of the scores by following the preceding steps for Finding the Mean, Mode, and Median. The mean of the dreams variable is 6.

❸ You are now going to create a new variable that shows each score’s squared deviation from the mean. U Transform, U Compute Variable. You could call the new variable any name you want, but we will call it “sqdev” (for “squared

Figure 2–14 Using SPSS to find the mean, median, and mode for the number of dreams example.

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64 Chapter 2

deviation”). So, write sqdev in the box labeled Target Variable. You are now going to tell SPSS how to figure sqdev. In the box labeled Numeric Expression, write (dreams ) * (dreams ). (The asterisk is how you show multiplication in SPSS.) As you can see, this formula takes each score’s deviation score and multiplies it by itself to give the squared deviation score. Your Compute Variable window should look like Figure 2–15. U OK. You will see that a new variable called sqdev has been added to the data window (see Figure 2–16). The scores are the squared deviations of each score from the mean.

❹ As you learned in this chapter, the variance is figured by dividing the sum of the squared deviations by the number of scores. This is the same as taking the mean of the squared deviation scores. So, to find the variance of the dreams scores, follow the steps shown earlier to find the mean of the sqdev variable. This comes out to 6.60; so the variance of the dreams scores is 6.60.

➎ To find the standard deviation, use a calculator to find the square root of 6.60, which is 2.57.

If you were conducting an actual research study, you would most likely request the variance and standard deviation directly from SPSS. However, for our purpose in this chapter (describing the variation in a group of scores), the steps we just outlined are entirely appropriate.

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Figure 2–15 SPSS compute variable window for Step ❸ of finding the variance and standard deviation for the number of dreams example.

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Central Tendency and Variability 65

Figure 2–16 SPSS data window after Step ❸ for finding the variance and standard deviation for the number of dreams example.

1. In more formal, mathematical statistics writing, the symbols can be more com- plex. This complexity allows formulas to handle intricate situations without confusion. However, in books on statistics for psychologists, even fairly ad- vanced texts, the symbols are kept simple. The simplified form rarely creates ambiguities in the kinds of statistical formulas psychologists use.

2. This section focuses on the variance and standard deviation as indicators of spread, or variability. Another way to describe the spread of a group of scores is in terms of the range—the highest score minus the lowest score. Suppose that in a particular class the oldest student is 39 years of age and the youngest is 19; the range is 20 (that is, ). Psychology researchers rarely use the range because it is such an imprecise way to describe the spread; it does not take into account how clumped together the scores are within the range.

3. Why don’t statisticians use the deviation scores themselves, make all deviations positive, and just use their average? In fact, the average of the deviation scores (treating all deviations as positive) has a formal name—the average deviation or mean deviation. This procedure was actually used in the past, and some psy- chologists have noted subtle advantages of the average deviation (Catanzaro & Taylor, 1996). However, the average deviation does not work out very well as part of more complicated statistical procedures.

39 – 19 = 20

Chapter Notes

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4. It is important to remember that the standard deviation is not exactly the average amount that scores differ from the mean. To be precise, the standard deviation is the square root of the average of scores’ squared deviations from the mean. This squaring, averaging, and then taking the square root gives a slightly different re- sult from simply averaging the scores’ deviations from the mean. Still, the result of this approach has technical advantages that outweigh the slight disadvantage of giving only an approximate description of the average variation from the mean (see Chapter Note 3).

5. Note that if you request the variance from SPSS, you can convert it to the vari- ance as we figure it in this chapter by multiplying the variance from SPSS by

(that is, the number of scores minus 1) and then dividing the result by N (the number of scores). (That is the variance as we are figuring it in this chapter � SPSS’s variance multiplied by [ ]�N.) Taking the square root of the resulting value will give you the standard deviation (using the formula you learned in this chapter). We use a slightly longer approach to figuring the variance and standard deviation in order to show you how to create new variables in SPSS.

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Psychology homework help

Psychology homework help

1. In an instance of _______ recovery, a conditioned response that has been extinguished reappears when a person is exposed to a related stimulus.

A. incomplete

B. spontaneous

C. generalized

D. automatic

 

2. You want to condition a pet pig to come running for a food reward when you blow a whistle. In the process of this conditioning effort, the main idea is to

A. teach the pig to pay attention to the sound of a whistle.

B. teach the pig to expect food when it’s hungry.

C. pair a conditioned stimulus with an unconditioned stimulus.

D. pair a neutral stimulus with an unconditioned stimulus.

 

3. Which of the following statements regarding latent learning is most accurate?

A. Latent learning occurs without reinforcement.

B. Latent learning occurs in spite of negative reinforcement.

C. Latent learning doesn’t require cognitive processes.

D. Latent learning suggests that environmental knowledge is genetically predetermined.

 

4. According to information provided in your text, circadian rhythms are associated with

A. attacks of sleep apnea.

B. the occurrence of anxiety attacks.

C. the time of month that pregnant women are likely to go into labor.

D. cycles of waking and sleeping.

 

5. A casino slot machine has a random chance of paying out a prize each time a wager is made. This would be an example of

A. variable-ratio schedule.

B. fixed-ratio schedule .

C. non-variable-ratio schedule.

D. random-variable ratio schedule.

 

6. An important reason why people forget something is that they didn’t pay much attention to it in the first place. Psychologists refer to this kind of forgetting as

A. encoding failure.

B. cue-dependent.

C. decay.

D. interference related.

 

7. The most frequently abused nervous system depressant is

A. cocaine.

B. caffeine.

C. alcohol.

D. marijuana.

 

8. After taking the drug, Rupert reported vivid hallucinations, altered perception of sounds and colors, and distorted time perception. It’s most likely that the drug Rupert took was

A. LSD.

B. MDMA.

C. cocaine.

D. marijuana.

 

9. Prescott is an old hand in the print shop. He insists that there’s only one dependable kind of process for printing a three-color brochure. By contrast, Baldwin recognizes several different approaches to three-color printing through the use of new digital technologies. Psychologists would say Prescott’s point of view is limited by his

A. obsessive perfectionism.

B. mental set.

C. mental laziness.

D. fundamental fixation.

 

10. A particular kind of neuron, called a _______ neuron, fires when we observe someone else’s behavior.

A. cognitive

B. mirror

C. reflective

D. modeling

 

11. During the _______ phase of problem solving, a means-ends analysis is a very common heuristic.

A. preparation

B. algorithm

C. production

D. judgment

 

12. While talking to Jim, Mary recalled that his birthday tomorrow. Mary wished him a happy birthday. What type of memory did Mary exhibit?

A. Implicit

B. Event

C. Explicit

D. Numerical

 

13. A common repetitive technique for moving new information from short-term memory to long-term memory is called

A. reduction.

B. selective reduction.

C. elaboration.

D. rehearsal.

 

14. A _______ reinforcement is one that satisfies a biological need.

A. conditional

B. positive

C. primary

D. neutral

 

15. In a lab devoted to sleep disorders, Julio points to the brain wave monitor, turns to Laura and says, “Subject is going into non-REM stage 2.” Laura looking at the monitor, says, “Got it; I’m recording the time.” What would Laura and Julio see on the monitor to assure them that the subject has entered stage 2 sleep?

A. Brain waves are irregular and episodic.

B. Brain waves are getting slower and more regular.

C. Sleep disturbance is indicated by sharp wave spikes.

D. Sleep spindles appear.

 

16. Which of the following would be considered an unconditioned response?

A. A monkey hits a red button when exposed to a bright light in order to receive a bit of food.

B. A dog barking when asked if it wants to go for a walk.

C. Pulling back your hand when touching a hot stove.

D. Getting excited when hearing a ring that sounds similar to the ringing of a winning casino game.

 

17. Which of the following statements regarding REM sleep is true?

A. REM sleep occurs during stage 3 sleep.

B. Dreaming causes major muscle contractions and tossing and turning.

C. REM sleep occurs only during stage 4 sleep.

D. Roughly 20 percent of adult sleep time is accompanied by REM.

 

18. You deprive your six-year-old of dessert each time he fails to eat his spinach. In this sort of _______, you weaken a response through taking away something pleasant or desired.

A. positive punishment

B. negative punishment

C. positive reinforcement

D. negative reinforcement

 

19. Trying to make sense of an article in the world events section of the Daily Mirror, Matlock turns to Thomas and asks, “Where’s Khartoum?” Thomas, looking up from his coffee, says, “Africa. It’s the capital of Sudan.” If you hold with the idea that long-term memory includes distinct modules, what sort of memory does Thomas’s reply indicate?

A. Declarative¡ªepisodic

B. Declarative¡ªsemantic

C. Procedural¡ªepisodic

D. Procedural¡ªsemantic

 

20. Natasha has been living Philadelphia for several months and is rapidly mastering the English language. However, she often turns to her American friend, Emily, when she is uncertain about a concept. One day, Natasha turns to Emily and asks, “What are you meaning when you say this word ‘vehicle’?” If you were Emily, which of these prototypes would be most likely to point to feel fairly certain that Natasha “gets it”?

A. An elevator

B. An automobile

C. A jet liner passing overhead.

D. An escalator

 
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Research Methods in Pivotal StudiesHomework Help

Research Methods in Pivotal StudiesHomework Help

  Title

ABC/123 Version X

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  Week 4 Research Methods in Pivotal Studies

PSYCH/665 Version 3

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University of Phoenix Material

Week 4: Research Methods in Pivotal Studies

Matching

Match the study with the individual researcher by entering the letter of the correct study to match the number of the researcher in the Answer column in the following tables.

Table 1

Researchers Study Answer
1. Edward Lee Thorndike A. Group Conflict 1. E
2. Solomon Asch B. Race and Self-Concept 2. H
3. Muzafer Sherif C. Strength of Situation 3.
4. Philip Zimbardo D. Cognitive Dissonance 4. C
5. Kenneth and Mamie Clark E. Puzzle Box and Learning 5. B
6. Leon Festinger F. Obedience 6. D
7. Stanley Milgrim G. Social Facilitation 7. F
8. Gordon Allport H. Conformity 8.

Table 2

Researchers Seminal Study Answer
1. Bibb Latane A. Operant Conditioning 1.
2. John Darley and Bibb Latane B. Learning 2.
3. Albert Bandura C. Cognitive Development 3.
4. B. F. Skinner D. Learned Helplessness 4.
5. Martin Seligman E. Social Loafing 5.
6. John B. Watson F. Modeling 6.
7. Jean Piaget G. Bystander Intervention 7.
8. Ivan Pavlov H. Classical Conditioning 8.

Multiple Choice

Choose one or more researchers who conducted each type of research.

1. Which of the following researcher(s) conducted a combination of observation and descriptive research?

a. Piaget

b. Clark

c. Thorndike

d. Milgram

2. Which of the following researcher(s) conducted experimental research?

a. Asch

b. Festinger

c. Sherif

d. Zimbardo

3. Which of the following researcher(s) conducted experimental research?

a. Latane

b. Bandura

c. Allport

d. Darley & Latane

4. Which of the following researcher(s) conducted experimental research?

a. Seligman

b. Watson

c. Pavlov

d. Skinner

5. Which of the following researcher(s) conducted quasi-experimental research?

a. Jung

b. Thorndike

c. Watson

d. Freud

For the following research questions, choose which research method would be most appropriate to use.

1. Is there a link between television and obesity?

a. True experiment

b. Correlation

c. Quasi-experiment

d. Historical

e. Observation/Descriptive

2. How does schizophrenia differ in young women and men?

a. Observation/Descriptive

b. True experiment

c. Historical

d. Correlation

e. Quasi-experiment

3. How does social anxiety disorder affect the routine life of a person?

a. Correlation

b. True experiment

c. Observation/Descriptive

d. Quasi-experiment

e. Historical

4. Does gender affect memory?

a. True experiment

b. Observation/Descriptive

c. Quasi-experiment

d. Correlation

e. Historical

5. Does room temperature affect long term memory?

a. Historical

b. Quasi-experiment

c. Observation/Descriptive

d. True experiment

e. Correlation

6. What is the influence of work environment on the worker’s self-esteem?

a. Correlation

b. Observation/Descriptive

c. Quasi-experiment

d. Historical

e. True experiment

7. How does in-store music influence product selection?

a. Observation/Descriptive

b. Quasi-experiment

c. Historical

d. True experiment

e. Correlation

8. How does over-crowding affect human beings?

a. True experiment

b. Observation/Descriptive

c. Quasi-experiment

d. Correlation

e. Historical

9. Does attractiveness affect our perception of others – are the attractive treated differently?

a. Quasi-experiment

b. Historical

c. Correlation

d. True experiment

e. Observation/Descriptive

10. What is the effect of color on mental states?

a. Observation/Descriptive

b. Correlation

c. Quasi-experiment

d. Historical

e. True Experiment

Copyright © XXXX by University of Phoenix. All rights reserved.

Copyright © 2017 by University of Phoenix. All rights reserved.

 
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Psychology Interviewing Presentation (Powerpoint) Assignment Help

Psychology Interviewing Presentation (Powerpoint) Assignment Help

Create a PowerPoint presentation that overviews how to properly conduct a psychological interview. (minimum number of slides is 10 maximum number undefined, but it must cover all the items listed below)

Content:  integrate course content and research into your presentation. Mandatory requirements,  must include the key principles of interviewing (e.g., preparation, introductions, open vs. closed questions, professionalism, etc.). May focus on interviews with a certain population (e.g., families in crisis, children, etc.) or present on interviewing in general.

Resources:

· Although research focused, many good tips can be found here: http://owl.english.purdue.edu/owl/resource/559/04/.

· Another thorough resource related to psychological interviews with families and children can be found at:

·http://www.centerforchildwelfare.org/preservice/participantguides/Intro%20to%20Interviewing%20Participant%20Guide.pdf

· Must use textbook as one of the reference:

Cohen, R. J. & Swerdlik, M. E. (2017). Psychological testing and assessment: An introduction to tests and measurement (9th ed.). Boston, MA: McGraw-Hill. ISBN: 9781259870507.

Textbook covers interviews on pp. 9–11, 453–459, and 464–466 (these are attached)

Presentation: Must be creative but within APA guidance on the “aesthetics” of your presentation (graphics, clarity, interest, etc.).

 

– discusses the importance of the appearance and professionalism of the interviewer

– describes both nonverbal and verbal  communication elements of psychological interviewing

– discusses how to begin and end a psychological interview

– discusses how to ask and how not to ask questions in a psychological interview

– discusses the role of follow-up questions in psychological interviewing

– integrates information from at least 1 peer-reviewed source (in addition to the textbook) into the presentation

– utilizes graphics that are professional, relevant and engaging, not busy or overwhelming

– uses an appropriate balance of text and graphics on slides as well as appropriate stopping points

– presentation includes in-text citations of sources, as well as a References slide/section. All citations and references are presented in current, accurate APA format

 

 
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Final Project: Executive Summary Assignment Help

Final Project: Executive Summary Assignment Help

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PSY 310 Final Project Guidelines and Rubric

Overview The final project for this course is the creation of an executive summary report. You will write a summary, conduct a crime assessment, and create a profile of a criminal. You will then develop a conclusion and consider the investigative use of the information you have compiled. Criminal psychology encompasses a wide range of information about someone which can be drawn together, synthesized, and written into a format used by the criminal justice system prior to an arrest. Typically, criminal psychologists are called upon to provide advice and consultation when the crimes are not straightforward. Law enforcement officers are experts at tracking data and looking for crime-related clues to help them solve a case. However, when they need assistance determining who a criminal is, or what a criminal’s motivation might be—in a predictive sense—they rely on the capabilities of professionals who are versed both in criminology and psychology. A criminal profile emerges as data comes together. This is not the same as the information you see on the news; rather, it is a comprehensive look at the biological, psychological, social, and environmental factors that make a person unique to a criminal case. Some of the information is based on empirical data and some is based on educated assumptions made by the criminal psychologist.

In this executive summary report, you will look at a variety of factors and work to answer the question “who is this person?” You will examine criminal statistics, lifestyle, upbringing, medical and mental health information, along with a range of other information, that will help you answer the “who, what, when, where, and why” of your chosen case. It will be your job to draw from your previous education and training to learn how to understand what information is relevant to your case. There is no piece of information that is too small to help you build the mosaic of how past activity can help predict future activity. Your profile will be thorough, addressing all of the areas and questions above for the aim of assisting investigators to understand the criminal and his or her motivations and motives as well as the risk of the criminal activity continuing in the future. Through prompts and independent research outside of the text, you’ll peer into the world of investigative profiling.

The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules Three and Five. The final product will be submitted in Module Seven.

In this assignment, you will demonstrate your mastery of the following course outcomes:

 

 PSY-310-01: Assess biological, developmental, and environmental factors to determine the impact on criminal behavior

 PSY-310-02: Apply relevant psychological theories to criminal behavior in order to analyze motivation

 PSY-310-03: Apply psychological methods to the development of a psychological profile that synthesizes relevant data  PSY-310-04: Determine appropriate intervention strategies related to criminal behavior supported by psychological theory and research

 

 

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Prompt You will complete an executive summary report that includes criminal and psychological aspects of a particular crime to inform the executive team in order to prevent or intervene in criminal behavior. You may choose one of the following three scenarios to complete your final project:

 

1. White Collar Crime (Plain Text Version) 2. Serial Murderer (Plain Text Version) 3. Domestic Terror (Plain Text Version)

 

Specifically, you must address the critical elements listed below. Most of the critical elements align with a particular course outcome (shown in brackets).

I. Summary A. Summarize the case provided. In your summary, include key facts and demographic information. [PSY-310-01]

B. Develop initial hypothesis about the potential motivation to commit the crime. As you consider the motivation, identify the type of crime that was committed. [PSY-310-02]

 

II. Crime Assessment A. Compare data and evidence of similar crimes. [PSY-310-03] B. Identify patterns found in similar crimes. [PSY-310-03] C. Make inferences about motivation of the identified individual based on case evidence and comparison to similar crimes. [PSY-310-02]

 

III. Profile A. Develop a demographic summary of the individual based on analysis of data from the case. [PSY-310-03] B. Explain the impact that biological factors of the case had on the individual’s behavior. [PSY-310-01] C. Explain the impact that developmental factors of the case had on the individual’s behavior. [PSY-310-01] D. Explain the impact that environmental factors of the case had on the individual’s behavior. [PSY-310-01]

E. Apply theories to the emerging hypothesis of the motivation of your chosen subject. In your response, consider the biological, psychological, social, and criminal violence theories. [PSY-310-02]

IV. Conclusion and Investigative Use

A. Develop a global summary based on a synthesis of the inputs, crime assessment, and profile. [PSY-310-03] B. Anticipate future behavior based on predictive analysis. [PSY-310-04]

 

 

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C. Develop intervention strategies to mitigate future criminal behavior. Be sure to explain how your strategies will impact future behavior. [PSY- 310-04]

D. Discuss limitations of data to developing your report. In your response, consider the information that was missing that you wish you had and reliability and validity of the data you reviewed. [PSY-310-04]

E. Based on your report, discuss how the information collected could contribute to the capture, understanding, and prosecution of the individual. [PSY-310-04]

 

 

 

Milestone One: Summary and Crime Assessment

Milestones

In Module Three, you will submit a draft of your summary and crime assessment. This milestone will be graded with the Milestone One Rubric.

Milestone Two: Profile In Module Five, you will submit a draft of the profile. This milestone will be graded with the Milestone Two Rubric.

 

Final Submission: Executive Summary Report

In Module Seven, you will submit your final project. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. You will add the conclusion and investigative use section to the final project submission. This submission will be graded with the Final Project Rubric.

 

 

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Final Project Rubric Guidelines for Submission: Your executive summary report must be 4–6 pages in length (plus a cover page and references) and must be written in APA format. Use double spacing, 12-point Times New Roman font, and one-inch margins. Include at least five references cited in APA format.

 

Critical Elements Exemplary (100%) Proficient (85%) Needs Improvement (55%) Not Evident (0%) Value

Summary: Meets “Proficient” criteria and Summarizes the case study and Summarizes the case study but Does not summarize the case 6 Summarize the Case response demonstrates an includes key facts and summary is missing key facts or study

advanced ability to distill key demographic information demographic information details from a provided case study

Summary: Initial Meets “Proficient” criteria and Develops initial hypothesis Develops initial hypothesis Does not develop an initial 8 Hypothesis response demonstrates a about the potential motivation about the potential motivation hypothesis about the potential

sophisticated awareness of the to commit the crime to commit the crime but the motivation to commit the crime potential motivation to commit hypothesis is cursory or lacks the crime detail

Crime Assessment: Meets “Proficient” criteria and Compares data and evidence of Compares data and evidence of Does not compare data and 6 Compare comparison is exceptionally similar crimes similar crimes but comparison is evidence of similar crimes

clear and includes exceptional cursory or contains inaccuracies detail

Crime Assessment: Meets “Proficient” criteria and Identifies patterns found in Identifies patterns found in Does not identify patterns 6 Identify Patterns demonstrates keen ability to similar crimes similar crimes but response is found in similar crimes

identify patterns cursory or illogical or lacks detail

Crime Assessment: Meets “Proficient” criteria and Draws inferences about the Draws inferences about the Does not draw inferences about 8 Motivation inferences show advanced motivation of the individual to motivation of the individual to the motivation of the individual

ability to draw connections commit the crime based on commit the crime but response to commit the crime from evidence in multiple cases evidence in multiple cases is cursory or illogical or lacks

detail

 

 

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Profile: Meets “Proficient” criteria and Develops a demographic Develops a demographic Does not analyze data from the 6 Demographic response demonstrates an summary of the individual summary of the individual case to develop a demographic

Summary exceptionally detailed summary based on analysis of data from based on analysis of data from summary of the individual …. the case the case but the demographic

summary of the individual is cursory or lacks detail

Profile: Biological Meets “Proficient” criteria and Explains the impact that Explains the impact that Does not explain the impact 6 Factors response demonstrates an biological factors of the case biological factors of the case that biological factors of the

insightful ability to assess the had on the individual’s behavior had on the individual’s behavior case had on the individual’s impact of biological factors but explanation lacks sufficient behavior detail

Profile: Meets “Proficient” criteria and Explains the impact that Explains the impact that Does not explain the impact 6 Developmental response demonstrates an developmental factors of the developmental factors of the that developmental factors of

Factors insightful ability to assess the case had on the individual’s case had on the individual’s the case had on the individual’s impact of developmental behavior behavior but explanation lacks behavior factors sufficient detail

Profile: Meets “Proficient” criteria and Explains the impact that Explains the impact that Does not explain the impact 6 Environmental response demonstrates an environmental factors of the environmental factors of the that environmental factors of

Factors insightful ability to assess the case had on the individual’s case had on the individual’s the case had on the individual’s impact of environmental factors behavior behavior but explanation lacks behavior sufficient detail

Profile: Apply Meets “Proficient” criteria and Applies theories to the Applies theories to the Does not apply theories to the 8 Theories description demonstrates a emerging hypothesis of emerging hypothesis of emerging hypothesis of

complex grasp of the motivation for the identified motivation for the identified motivation for the identified application of theories to the individual individual but response is individual hypothesis of motivation missing key theories

Conclusion and Meets “Proficient” criteria and Develops global summary based Develops global summary but Does not develop global 6 Investigative Use: demonstrates an advanced on a synthesis of the inputs, summary is missing key summary based on a synthesis Global Summary ability to synthesize key details crime assessment, and profile elements or lacks clear of the inputs, crime assessment,

synthesis of details and profile

Conclusion and Meets “Proficient” criteria and Anticipates future behavior of Anticipates future behavior of Does not anticipate future 6 Investigative Use: demonstrates keen insight into individual based on predictive individual based on predictive behavior of individual based on Future Behavior the application of predictive analysis analysis but response is cursory predictive analysis

analysis or illogical or lacks detail

 

 

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Conclusion and Meets “Proficient” criteria and Develops intervention Develops intervention Does not develop intervention 6 Investigative Use: demonstrates a nuanced strategies, explaining how they strategies to mitigate this strategies to mitigate future

Intervention understanding of how will mitigate future criminal behavior in the future but criminal behavior Strategies intervention strategies mitigate behavior interventions are not applied

future criminal behavior appropriately or lack justification

Conclusion and Meets “Proficient” criteria and Discusses limitations of data in Discusses limitations to Does not discuss limitations to 6 Investigative Use: description demonstrates a developing the report developing the report but developing the report

Limitations sophisticated awareness of the response is cursory or illogical

case details or lacks detail

Conclusion and Meets “Proficient” criteria and Discusses how the information Discusses how the information Does not discuss how the 6 Investigative Use: demonstrates a sophisticated collected could contribute to collected could contribute to information collected could

Capture, understanding of how the the capture, understanding, and the capture, understanding, and contribute to the capture, Understanding, and report contributes to the prosecution of the individual prosecution of the individual understanding, and prosecution

Prosecution capture, understanding, and but description is cursory, of the individual prosecution of the individual illogical, or lacks detail

Articulation of Submission is free of errors Submission has no major errors Submission has major errors Submission has critical errors 4 Response related to citations, grammar, related to citations, grammar, related to citations, grammar, related to citations, grammar,

spelling, syntax, and spelling, syntax, or organization spelling, syntax, or organization spelling, syntax, or organization organization and is presented in that negatively impact that prevent understanding of a professional and easy-to-read readability and articulation of ideas format main idea

Total 100%

 
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