chapter 10-11 vocab terms Flashcards

1
Q

manipulated variable

A

variable in an experiment that a researcher controls such as assigning participants to different levels (values) (independent)

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2
Q

measured variables

A

a variable in a study whose levels are observed and recorded (dependent)

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3
Q

condition

A

one of the levels of the independent variable in an experiment

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4
Q

control variable

A

a variable that a researcher holds constant on purpose

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5
Q

comparison group

A

a group in an experiment whose levels on the independent variable differ from those of the treatment group in some intended and meaningful way

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6
Q

control group

A

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

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7
Q

placebo group

A

a control group in an experiment that is exposed to an inter treatment

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8
Q

confound

A

a general term for a potential alternative explanation for a research finding; a threat to validity

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9
Q

design confound

A

a threat to internal validity in an experiment in which a second variable happens to vary systematically along with the independent variable and is an alternative explanation for the results

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10
Q

systematic variability

A

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

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11
Q

unsystematic variability

A

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

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12
Q

selection effect

A

a threat to internal validity that occurs in an independent groups design when the kids of participants at one level of the independent variable are systematically different from those at the other level

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13
Q

random assignment

A

the use of a random method to assign participants to diff experimental groups

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14
Q

matched groups

A

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

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15
Q

treatment group

A

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

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16
Q

independent-groups design

A

An experimental design in which different groups of participants are
exposed to different levels of the independent variable, such that each
participant experiences only one level of the independent variable.
Also called between-subjects design, between-groups design

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17
Q

within-groups design

A

An experimental design in which each participant is presented with all
levels of the independent variable. Also called within-subjects design.

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18
Q

posttest-only design

A

An experiment using an independent-groups design in which
participants are tested on the dependent variable only once. Also
called equivalent groups, posttest-only design

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19
Q

pretest/posttest design

A

An experiment using 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

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20
Q

repeated-measures design

A

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

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21
Q

concurrent-measures design

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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22
Q

order effect

A

In a within-groups design, a threat to internal validity in which
exposure to one condition changes participant responses to a later
condition. See also carryover effect, practice effect, testing threat

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23
Q

practice effect

A

A type of order effect in which participants’ performance improves
over time because they become practiced at the dependent measure
(not because of the manipulation or treatment). Also called fatigue
effect. See also order effect, testing threat.

24
Q

carryover effect

A

A type of order effect, in which some form of contamination carries
over from one condition to the next

25
counterbalancing
In a repeated-measures experiment, presenting the levels of the independent variable to participants in different sequences to control for order effects. See also full counterbalancing, partial counterbalancing.
26
full counterbalancing
A method of counterbalancing in which all possible condition orders are represented. See also counterbalancing, partial counterbalancing.
27
partial counterbalancing
A method of counterbalancing in which some, but not all, of the possible condition orders are represented. See also counterbalancing, full counterbalancing.
28
latin square
A formal system of partial counterbalancing to ensure that every condition in a within-groups design appears in each position at least once.
29
demand characteristic
A cue that leads participants to guess a study’s hypotheses or goals; a threat to internal validity. Also called experimental demand.
30
manipulation check
In an experiment, an extra dependent variable researchers can include to determine how well a manipulation worked
31
pilot study
A study completed before (or sometimes after) the study of primary interest, usually to test the effectiveness or characteristics of the manipulations.
32
one-group, pretest/posttest design
An experiment 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.
33
maturation threat
A threat to internal validity that occurs when an observed change in an experimental group could have emerged more or less spontaneously over time.
34
history threat
A threat to internal validity that occurs when an observed change in an experimental group could have emerged more or less spontaneously over time.
35
regression threat
A threat to internal validity related to regression to the mean, a phenomenon in 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). See also regression to the mean
36
regression of the mean
A phenomenon in which an extreme finding is likely to be closer to its own typical, or mean, level the next time it is measured, because the same combination of chance factors that made the finding extreme are not present the second time. See also regression threat.
37
attrition threat
In a pretest/posttest, repeated-measures, or quasi-experimental study, a threat to internal validity that occurs when a systematic type of participant drops out of the study before it ends
38
testing threat
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; includes practice effects.
39
instrumentation threat
A threat to internal validity that occurs when a measuring instrument changes over time.
40
selection-history threat
A threat to internal validity in which a historical or seasonal event systematically affects only the participants in the treatment group or only those in the comparison group not both
41
selection attrition threat
A threat to internal validity in which participants are likely to drop out of either the treatment group or the comparison group, not both.
42
observer bias
A bias that occurs when observer expectations influence the interpretation of participant behaviors or the outcome of the study
43
demand characteristic
A cue that leads participants to guess a study’s hypotheses or goals; a threat to internal validity. Also called experimental demand.
44
double-blind study
A study in which neither the participants nor the researchers who evaluate them know who is in the treatment group and who is in the comparison group.
45
masked design
A study design in which the observers are unaware of the experimental conditions to which participants have been assigned. Also called blind design
46
placebo effect
A response or effect that occurs when people receiving an experimental treatment experience a change only because they believe they are receiving a valid treatment
47
double blind placebo control study
A study that uses a treatment group and a placebo group and in which neither the researchers nor the participants know who is in which group
48
null effect
A finding that an independent variable did not make a difference in the dependent variable; there is no significant covariance between the two. Also called null result
49
ceiling effect
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. See also floor effect.
50
floor effect
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. See also ceiling effect.
51
manipulation check
In an experiment, an extra dependent variable researchers can include to determine how well a manipulation worked
52
noise
Unsystematic variability among the members of a group in an experiment, which might be caused by situation noise, individual differences, or measurement error. Also called error variance, unsystematic variance
53
measurement error
The degree to which the recorded measure for a participant on some variable differs from the true value of the variable for that participant. Measurement errors may be random, such that scores that are too high and too low cancel each other out; or they may be systematic, such that most scores are biased too high or too low.
54
situation noise
Unrelated events or distractions in the external environment that create unsystematic variability within groups in an experiment
55
power
The likelihood that a study will show a statistically significant result when an independent variable truly has an effect in the population; the probability of not making a Type II error