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Experimental Design > Exam 3 > Flashcards

Exam 3 Flashcards

1
Q

bivariate association

A

aka bivariate correlation; an association that involves exactly two variables

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2
Q

directionality problem

A

a situation in which it is unclear which variable in an association came first

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3
Q

moderator

A

a third variable that, depending on its level, changes the relationship between two other variables

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4
Q

outlier

A

one or a few cases that stand out as either much higher or much lower than most of the other scores in a sample

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5
Q

phi coefficient

A

a statistical test designed to evaluate the association between two categorical variables

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6
Q

point-biserial correlation

A

a statistical test used for evaluating the association between one categorical variable and one quantitative variable

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7
Q

spurious

A

an association that is attributable only to systematic mean differences on subgroups within the sample

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8
Q

statistically significant

A

aka statistical conclusion validity; the extent to which statistical conclusions derived from a study are accurate and reasonanble

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9
Q

t test

A

a statistical test used to evaluate the size and significance of the difference between two means

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10
Q

third-variable problem

A

a situation in which plausible alternative explanations exist for the association between two variables

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11
Q

between-subjects designs

A

an experimental design in which different groups pf participants are exposed to different levels of the independent variable such that each participant experiences only one level of the independent variable

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12
Q

carryover effects

A

a threat to internal validity that occurs when being exposed to one condition changes how people react to a later condition

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13
Q

concurrent-measures designs

A

an experiment using a within-groups design in which participants are exposed to all the levels of an independent variable at roughly the same time, and a single attitudinal or behavioral preference is the dependent variable

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14
Q

condition

A

one of the levels of the independent variable in an experiment

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15
Q

confounds

A

a potential alternative explanation for a research finding (a threat to internal validity)

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16
Q

control group

A

a level of an independent variable that is intended to represent “no treatment” or a neutral condition

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17
Q

control variable

A

a potential variable that an experimenter holds constant on purpose

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18
Q

counterbalancing

A

presenting the levels of the independent variable to participants in different orders to control for order effects

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19
Q

demand characteristics

A

cues that lead participants to guess a study’s hypotheses or goals

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20
Q

dependent variable

A

in an experiment, the variable that is measured, or the outcome variable

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21
Q

design confound

A

a second variable that happens to vary systematically along with the independent variable and therefore is an alternative explanation for the results

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22
Q

independent variable

A

a variable that is manipulated in an experiment

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23
Q

independent-groups design

A

an experimental design in which different groups pf participants are exposed to different levels of the independent variable such that each participant experiences only one level of the independent variable

24
Q

Latin square

A

a formal system of partial counterbalancing that ensures that each condition appears in each condition at least once

25
Q

manipulation checks

A

an extra dependent variable that researchers can include in an experiment to determine how well an experimental manipulation worked

26
Q

matched-groups design

A

an experimental design in which participants who are similar on some measured variable are grouped into sets and the members of each matched set are then randomly assigned to different experimental conditions

27
Q

order effects

A

a threat to internal validity that occurs when being exposed to one condition changes how people react to a later condition

28
Q

partial counterbalancing

A

a method of counterbalancing in which some, but not all, of the possible condition orders are represented

29
Q

pilot study

A

a study completed before (or sometimes after) the study of primary interest, usually to test the effectiveness or characteristics of the manipulations

30
Q

placebo group

A

a control group that is exposed to an inert treatment (ex: sugar pill)

31
Q

posttest-only design

A

an experiment with an independent groups design in which participants are tested on the dependent variable only once

32
Q

power

A

the probability that a study will show a statistically significant result when some effect is truly present in the population

33
Q

practice effects

A

a type of order effect in which people’s performance improves over time because they become practiced at the dependent measure (not because of the manipulation or treatment)

34
Q

pretest/posttest design

A

an experiment with an independent-groups design in which participants are tested on the key dependent variable twice- once before and once after exposure to the independent variable

35
Q

random assignment

A

the use of a random method (ex: flipping a coin) to assign participants into different experimental groups)

36
Q

repeated-measures design

A

an experiment with a within-groups design in which participants respond to a dependent variable more than once, after exposure to each level of the independent variable

37
Q

selection effect

A

a threat to internal validity that occurs when the kinds of participants at one level of the independent variable are systematically different from those at the other level of the independent variable

38
Q

systematic variability

A

in an experiment, the situation that occurs when the levels of a variable coincide in some predictable way with experimental group membership, creating a potential confound

39
Q

treatment group

A

the participants in an experiment who are exposed to the level of the independent variable that involves a drug, therapy, or intervention

40
Q

unsystematic variability

A

in an experiment, the levels of a variable occurring independently of experimental group membership, contributing to variability within groups

41
Q

within-groups design

A

a study design in which each participant is presented with all levels of the independent variable

42
Q

attritition

A

in a repeated-measures experiment or quasi-experiment, a threat to internal validity that occurs when a systematic type of participant drops out of a study before it ends

43
Q

ceiling effect

A

an experimental design problem in which independent variable groups score almost the same on a dependent variable, such that all scores fall at the high end of their possible distribution

44
Q

demand characteristic

A

cues that lead participants to guess a study’s hypotheses or goals

45
Q

double-blind placebo control study

A

a study that uses a treatment group and a placebo group and in which neither the research assistant nor the participants know who is in which group

46
Q

floor effects

A

an experimental design problem in which independent variable groups score almost the same on a dependent variable, such that all scores fall at the low end of their possible distribution

47
Q

history threat

A

a threat to internal validity that occurs when it is unclear whether a change in the treatment group is caused by the treatment or by a historical event that affects everyone or almost everyone in the group

48
Q

instrumentation threat

A

a threat to internal validity that occurs when a measuring instrument changes over time from having been used before

49
Q

maturation

A

a threat to internal validity that occurs when an observed change in an experimental group could have emerged more or less spontaneously over time

50
Q

noise

A

the unsystematic variability among the members of a group in an experiment

51
Q

null effect

A

a finding that an independent variable did not make a difference in the dependent variable- that there is no significant covariance between the two

52
Q

one group, pretest/posttest design

A

a study in which a researcher recruits one group of participants; measures them on a pretest; exposes them to a treatment, intervention, or change; and then measures them on a posttest

53
Q

placebo effect

A

an effect that occurs when people receiving an experimental treatment experience a change only because they believe they are receiving a valid treatment

54
Q

regression threat

A

a threat to internal validity related to regression toward the mean, by which any extreme finding is likely to be closer to its own typical, or mean, level the next time it is measured (with or without the experimental treatment or intervention)

55
Q

situation noise

A

irrelevant events, sounds, or distractions in the external situation that create unsystematic variability within groups in an experiment

56
Q

testing threat

A

in a repeated-measures experiment or quasi-experiment, a kind of order effect in which scores change over time just because participants have taken the test more than once

Experimental Design (12 decks)

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