Midterm 2 Flashcards

(48 cards)

1
Q

situational independent variable

A

manipulates situation, example: relaxation or no relaxation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

task independent variable

A

manipulates task, example: solving anagrams or puzzles

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

instructional independent variable

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

statistical conclusion validity

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

construct validity

A

well operationalized independent and dependent variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

internal validity

A

confound free

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

external validity

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

most important type of validity

A

construct and internal validity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

subject selection effect

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

between subjects study necessary when…

A

1) studying subject variable

2) when subjects have to be naive

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

when to use matching

A

small number of ppl

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

complete counterbalancing

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

partial counterbalancing

A

random sample of all possible combinations. Within-subjects

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

block randomization

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

reverse counterbalancing

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

ceiling effect

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
independent groups design
b/w groups, manipulated variable, random assignment
26
matched groups design
b/w groups, matched assignment, manipulated variable
27
ex post facto/nonequivalent groups design
subject variable, b/w groups, deliberate non-equivalence
28
within-subject if subject is tested once. How to randomize?
full or partial counterbalancing AB or BA
29
within-subject if subject is tested more than once. How to randomize?
reverse/block counterbalancing ABBA
30
placebo control group
subjects think they are being treated
31
waiting list control group
receive treatment after study is over
32
yoked control group
control group yoked to experimental subject
33
ANOVA: when to use?
more than two-levels in design
34
types of ANOVA
one-way:one independent variable | two way: two independent variables
35
what do you need to calculate ANOVA?
mean and number of subjects in each level
36
F ratio
variance between groups/variance within groups
37
Variance between groups
sum of squares between groups/degree of freedom between groups
38
Variance within groups
sum of squares within groups/degree of freedom within groups
39
reinforcement delay
between groups variance
40
error
within groups variance
41
multilevel design advantages for between-subject designs
1) can reveal nonlinear results | 2) can rule out alternative explanations
42
multilevel design advantages for within-subject designs
1) can reveal nonlinear results | 2) all counterbalancing options available
43
when is t-test used
single factor, two level design
44
t-test for independent groups
manipulated IV, subject IV
45
t-test for dependent groups
matched groups, within-subjects design
46
t-test formula
(mean x1-mean x2)/standard error of difference
47
df formula
n1+n2-2
48
Cohen's d, calculates effect size
difference in mean/standard deviation for both groups combined difference in mean/s