Midterm 2 Flashcards

1
Q

situational independent variable

A

manipulates situation, example: relaxation or no relaxation

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2
Q

task independent variable

A

manipulates task, example: solving anagrams or puzzles

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3
Q

instructional independent variable

A

manipulates instructions, example: solving with time limit or no time limit

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4
Q

statistical conclusion validity

A

proper analyses and conclusions, respect test assumptions, right type of measures

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5
Q

construct validity

A

well operationalized independent and dependent variable

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6
Q

internal validity

A

confound free

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7
Q

external validity

A

how well can results be generalized to other populations, other environments (ecological validity), and other times

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8
Q

most important type of validity

A

construct and internal validity

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9
Q

pre and post studies, what could cause changes other than IV?

A

1) history
2) maturation
3) regression to the mean
4) attrition

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10
Q

subject selection effect

A

subjects might select themselves into certain groups without random assmt. Monkey ulcer study

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11
Q

between subjects study necessary when…

A

1) studying subject variable

2) when subjects have to be naive

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12
Q

which random assmt method to use with between group study

A
  1. )block randomization-assign participants randomly to all conditions in the block and repeat until all participants have been assigned
  2. )matching-use when small number of ppl
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13
Q

when to use matching

A

small number of ppl

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14
Q

problems with within-subjects design

A

1) order could influence results: progressive effects, sequence effects
2) performance improves over time: practice effects
3) fatigue, performance decreases

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15
Q

complete counterbalancing

A

way to avoid sequence effects, all possible conditions. For example, 3 conditions=3! within-subjects

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16
Q

partial counterbalancing

A

random sample of all possible combinations. Within-subjects

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17
Q

block randomization

A

totally random within block. Within-subject and between-subject

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18
Q

reverse counterbalancing

A

a-b-c-d-d-c-b-a. Within-subject

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19
Q

ceiling effect

A

average scores for the group are so high that no difference can be determined between conditions

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20
Q

floor effect

A

all scores are extremely low

21
Q

examples of ways to lose internal validity

A
  • take place over long period over time (attrition)
  • subject groups non-equivalent (subject selection effect)
  • no control group
22
Q

Hawthorne effect

A

When behavior is affected by the knowledge that one is in an experiment

23
Q

cohort effects

A

groups differ in terms of environment in which they were aged, not just age

24
Q

demand characteristics

A

aspects of the study that reveal hypothesis being tested

  • might be a reason to use between subject design
  • can use manipulation checks
25
Q

independent groups design

A

b/w groups, manipulated variable, random assignment

26
Q

matched groups design

A

b/w groups, matched assignment, manipulated variable

27
Q

ex post facto/nonequivalent groups design

A

subject variable, b/w groups, deliberate non-equivalence

28
Q

within-subject if subject is tested once. How to randomize?

A

full or partial counterbalancing AB or BA

29
Q

within-subject if subject is tested more than once. How to randomize?

A

reverse/block counterbalancing ABBA

30
Q

placebo control group

A

subjects think they are being treated

31
Q

waiting list control group

A

receive treatment after study is over

32
Q

yoked control group

A

control group yoked to experimental subject

33
Q

ANOVA: when to use?

A

more than two-levels in design

34
Q

types of ANOVA

A

one-way:one independent variable

two way: two independent variables

35
Q

what do you need to calculate ANOVA?

A

mean and number of subjects in each level

36
Q

F ratio

A

variance between groups/variance within groups

37
Q

Variance between groups

A

sum of squares between groups/degree of freedom between groups

38
Q

Variance within groups

A

sum of squares within groups/degree of freedom within groups

39
Q

reinforcement delay

A

between groups variance

40
Q

error

A

within groups variance

41
Q

multilevel design advantages for between-subject designs

A

1) can reveal nonlinear results

2) can rule out alternative explanations

42
Q

multilevel design advantages for within-subject designs

A

1) can reveal nonlinear results

2) all counterbalancing options available

43
Q

when is t-test used

A

single factor, two level design

44
Q

t-test for independent groups

A

manipulated IV, subject IV

45
Q

t-test for dependent groups

A

matched groups, within-subjects design

46
Q

t-test formula

A

(mean x1-mean x2)/standard error of difference

47
Q

df formula

A

n1+n2-2

48
Q

Cohen’s d, calculates effect size

A

difference in mean/standard deviation for both groups combined

difference in mean/s