Chapter One Flashcards

1
Q

hindsight bias

A

the tendency to believe, after learning an outcome, that one would have foreseen it. (Also known as the I-knew-it-all-along phenomenon.)

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2
Q

Why, after friends start dating, do we often feel that we knew they were meant to be together?

A

We often suffer from hindsight bias—after we’ve learned a situation’s outcome, that outcome seems familiar and therefore obvious.

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3
Q

theory

A

an explanation using an integrated set of principles that organizes observations and predicts behaviors or events.

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4
Q

The scientific method

A

A self-correcting process for asking questions and observing nature’s answers.

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5
Q

hypothesis

A

a testable prediction, often implied by a theory.

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6
Q

operational definition

A

a carefully worded statement of the exact procedures (operations) used in a research study. For example, human intelligence may be operationally defined as what an intelligence test measures.

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7
Q

replication

A

repeating the essence of a research study, usually with different participants in different situations, to see whether the basic finding can be reproduced.

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8
Q

What does a good theory do?

A

It organizes observed facts. 2. It implies hypotheses that offer testable predictions and, sometimes, practical applications. 3. It often stimulates further research.

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9
Q

Why is replication important?

A

When other investigators are able to replicate an experiment with the same (or stronger) results, scientists can confirm the result and become more confident of its reliability.

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10
Q

case study

A

a descriptive technique in which one individual or group is studied in depth in the hope of revealing universal principles.

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11
Q

We cannot assume that case studies always reveal general principles that apply to all of us. Why not?

A

Case studies involve only one individual or group, so we can’t know for sure whether the principles observed would apply to a larger population.

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12
Q

NATURALISTIC OBSERVATION

A

A second descriptive method records behavior in natural environments. These naturalistic observations range from watching chimpanzee societies in the jungle, to videotaping and analyzing parent-child interactions in different cultures, to recording racial differences in students’ self-seating patterns in a school lunchroom.

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13
Q

naturalistic observation definined

A

a descriptive technique of observing and recording behavior in naturally occurring situations without trying to manipulate and control the situation.

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14
Q

A natural observer

A

“Observations, made in the natural habitat, helped to show that the societies and behavior of animals are far more complex than previously supposed,” chimpanzee observer Jane Goodall noted (1998).

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15
Q

What are the advantages and disadvantages of naturalistic observation, such as Mehl and his colleagues used in this study?

A

These researchers were able to carefully observe and record naturally occurring behaviors outside the artificiality of a laboratory. However, outside the lab they were not able to control for all the factors that may have influenced the everyday interactions they were recording.

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16
Q

survey

A

a descriptive technique for obtaining the self-reported attitudes or behaviors of a particular group, usually by questioning a representative, random sample of the group.

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17
Q

random sample

A

a sample that fairly represents a population because each member has an equal chance of inclusion.

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18
Q

population

A

all those in a group being studied, from which samples may be drawn. (Note: Except for national studies, this does not refer to a country’s whole population.)

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19
Q

What is an unrepresentative sample, and how do researchers avoid it?

A

An unrepresentative sample is a group that does not represent the entire population being studied. Random sampling helps researchers form a representative sample, because each member of the population has an equal chance of being included.

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20
Q

correlation

A

a measure of the extent to which two factors vary together, and thus of how well either factor predicts the other.

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21
Q

correlation coefficient

A

a statistical index of the relationship between two things (from −1.00 to +1.00).

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22
Q

variable

A

anything that can vary and is feasible and ethical to measure.

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23
Q

scatterplot

A

a graphed cluster of dots, each of which represents the values of two variables. The slope of the points suggests the direction of the relationship between the two variables. The amount of scatter suggests the strength of the correlation (little scatter indicates high correlation).

24
Q

illusory correlation

A

perceiving a relationship where none exists, or perceiving a stronger-than-actual relationship.

25
Q

regression toward the mean

A

the tendency for extreme or unusual scores or events to fall back (regress) toward the average.

26
Q

You hear the school basketball coach telling her friend that she rescued her team’s winning streak by yelling at the players after an unusually bad first half. What is another explanation of why the team’s performance improved?

A

The team’s poor performance was not their typical behavior. The return to their normal—their winning streak—may just have been a case of regression toward the mean.

27
Q

Length of marriage positively correlates with hair loss in men. Does this mean that marriage causes men to lose their hair (or that balding men make better husbands)?

A

In this case, as in many others, a third factor can explain the correlation: Golden anniversaries and baldness both accompany aging.

28
Q

experiment

A

a research method in which an investigator manipulates one or more factors (independent variables) to observe the effect on some behavior or mental process (the dependent variable). By random assignment of participants, the experimenter aims to control other relevant factors.

29
Q

experimental group

A

in an experiment, the group exposed to the treatment, that is, to one version of the independent variable.

30
Q

control group

A

in an experiment, the group not exposed to the treatment; contrasts with the experimental group and serves as a comparison for evaluating the effect of the treatment.

31
Q

random assignment

A

assigning participants to experimental and control groups by chance, thus minimizing preexisting differences between the different groups.

32
Q

double-blind procedure

A

an experimental procedure in which both the research participants and the research staff are ignorant (blind) about whether the research participants have received the treatment or a placebo. Commonly used in drug-evaluation studies.

33
Q

placebo

A

[pluh-SEE-bo; Latin for “I shall please”]

34
Q

effect

A

experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition, which the recipient assumes is an active agent.

35
Q

What measures do researchers use to prevent the placebo effect from confusing their results?

A

Research designed to prevent the placebo effect randomly assigns participants to an experimental group (which receives the real treatment) or to a control group (which receives a placebo). A double-blind procedure prevents people’s beliefs and hopes from affecting the results, because neither the participants nor those collecting the data know who receives the placebo. A comparison of the results will demonstrate whether the real treatment produces better results than belief in that treatment.

36
Q

independent variable

A

in an experiment, the factor that is manipulated; the variable whose effect is being studied.

37
Q

confounding variable

A

a factor other than the factor being studied that might influence a study’s results.

38
Q

dependent variable

A

in an experiment, the outcome that is measured; the variable that may change when the independent variable is manipulated.

39
Q

By using random assignment, researchers are able to control for ________________________, which are other factors besides the independent variable(s) that may influence research results.

A

confounding variables

40
Q

Why, when testing a new drug to control blood pressure, would we learn more about its effectiveness from giving it to half of the participants in a group of 1000 than to all 1000 participants?

A

We learn more about the drug’s effectiveness when we can compare the results of those who took the drug (the experimental group) with the results of those who did not (the control group). If we gave the drug to all 1000 participants, we would have no way of knowing whether the drug is serving as a placebo or is actually medically effective.

41
Q

informed consent

A

giving potential participants enough information about a study to enable them to choose whether they wish to participate.

42
Q

debriefing

A

the postexperimental explanation of a study, including its purpose and any deceptions, to its participants.

43
Q

How are animal subjects and human research participants protected?

A

Animal protection legislation, laboratory regulation and inspection, and local and university ethics committees (which screen research proposals) attempt to safeguard animal welfare. International psychological organizations urge researchers involving human participants to obtain informed consent, protect them from greater-than-usual harm and discomfort, treat their personal information confidentially, and debrief them fully at the end of the experiment.

44
Q

An American truck manufacturer offered graph (a) below—with actual brand names included—to suggest the much greater durability of its trucks. What does graph (b) make clear about the varying durability, and how is this accomplished?

A

Note how the y-axis of each graph is labeled. The range for the y-axis label in graph (a) is only from 95 to 100. The range for graph (b) is from 0 to 100. All the trucks rank as 95% and up, so almost all are still functioning after 10 years, which graph (b) makes clear.

45
Q

mode

A

the most frequently occurring score(s) in a distribution.

46
Q

mean

A

the arithmetic average of a distribution, obtained by adding the scores and then dividing by the number of scores.

47
Q

median

A

the middle score in a distribution; half the scores are above it and half are below it.

48
Q

range

A

the difference between the highest and lowest scores in a distribution.

49
Q

standard deviation

A

a computed measure of how much scores vary around the mean score.

50
Q

normal curve (normal distribution)

A

a symmetrical, bell-shaped curve that describes the distribution of many types of data; most scores fall near the mean (about 68 percent fall within one standard deviation of it) and fewer and fewer near the extremes.

51
Q

The average of a distribution of scores is the _____________. The score that shows up most often is the ______________. The score right in the middle of a distribution (half the scores above it; half below) is the _____________. We determine how much scores vary around the average in a way that includes information about the ______________ of scores (difference between highest and lowest) by using the ____________ _____________formula.

A

mean; mode; median; range; standard deviation

52
Q

statistical significance

A

a statistical statement of how likely it is that an obtained result occurred by chance.

53
Q

Can you solve this puzzle?
The registrar’s office at the University of Michigan has found that usually about 100 students in Arts and Sciences have perfect marks at the end of their first term at the University. However, only about 10 to 15 students graduate with perfect marks. What do you think is the most likely explanation for the fact that there are more perfect marks after one term than at graduation (Jepson et al., 1983)?

A

Averages based on fewer courses are more variable, which guarantees a greater number of extremely low and high marks at the end of the first term.

54
Q

_____________ statistics summarize data, while ____________ statistics determine if data can be generalized to other populations.

A

Descriptive; inferential

55
Q
A