Exam 4 (ch 12,13,14) Flashcards

1
Q

One IV effects another IV and they consequently effect the DV together

A

Interaction Effect

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

The effect of one IV on the DV

A

Main Effect

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

Study where there are two or more IV’s or factors

A

Factorial Design

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

A condition in an experiment (level of one IV)

A

Cell

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

Age, Gender, Ethnicity (factors that are selected, but not manipulated)

A

Participant Variables

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

An experiment where researchers don’t have full control (may not be able to randomly assign participants to groups)

A

Quasi-Experiment

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

Like an IV, but researchers don’t have full control over it

A

Quasi-independent variable

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

Study that compares 2 or more existing groups

A

Nonequivalent Control Group Design

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Study where the DV is measured repeatedly before after and during an intervention or event

A

Interrupted Time-Series Design

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

Study where the DV is measured before after and during an intervention in two or more existing groups

A

Nonequivalent Control Group Interrupted Times Series Design

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

A study that’s looking for treatments. One group is randomly assigned therapy and the others (second group) received it after a time delay

A

Wait-List Design

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Design where info is gathered from only a few cases

A

small-N design

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

Small-N design where behaviors are observed for an extended baseline period before beginning the intervention

A

Stable-Baseline design

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Small-N design where the introduction of the intervention (IV) is staggered at different times for different groups in different contexts

A

Multitude-Baseline design

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

Small-N design where the researcher observes a problem behavior before and after a treatment then discontinues treatment to see if the behavior returns.

A

Reversal design

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

Study whose results can be reproduced when the steps are repeated

A

Replicable

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

Replication where the original study is repeated exactly

A

Direct Replication

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

Replication where the operational definitions of some variables are changed when the study is repeated

A

Conceptual Replication

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

Replication where some variables or conditions are added.

A

Replica Plus Extension

20
Q

Statistical average of existing studies

A

Meta-Analysis

21
Q

When a meta-analysis is based on only published literature overestimates the support for the theory

A

File Drawer Problem

22
Q

Researchers create an after-the-fact hypothesis

23
Q

adding participants to the results, looking for outliers, or trying new analysis to obtain a p<0.05

24
Q

practice of sharing one’s data, hypothesis, materials freely

A

Open science

25
Researchers provide their full data set online so others can replicate
Open data
26
Full set of measures and manipulations are shared
Open materials
27
Researcher states hypothesis publicly before collecting any data
Preregistered
28
Extent to which the tasks/manipulations of a study are similar in an actual real work context
Ecological Validity
29
intent for a study is to test a theory or claim
Theory-testing
30
Intent is to generalize their study's findings to other populations
Generalization Mode
31
How cultural settings shape an individual and the the collective individuals then shape culture
Cultural psychology
32
Real-world setting for a research study
Field Study
33
Use methods of science but don't assume that all things have natural causes
Methodological Naturalism
34
Design that studies each possible combo of 2 manipulated IVs
Cross-Factorial Design
35
Design that includes on manipulated IV and one participant variable that is not manipulated but treated as an IV
IVxPV Design
36
How many IVs can you do max for an ideal study
4
37
Factorial design where all the IVs are within one group of participants
Within Group Factorial Design
38
Factorial design where one IV is manipulated between groups and one is manipulated within groups (increases the number of IV levels)
Mixed Factorial Design
39
Validity priorities for small-n designs:
1) Internal- high 2) External- can be low bc studies are small 3) Construct- important 4)Statistical- not super relevant
40
Benefits of small-n designs:
benefits rare conditions (research) lots of detail high internal validity
41
Problems with small-n designs
limited external validity ethical problems (in Reversal designs treatment must be taken away)
42
Reasons studies fail to replicate:
- design confounds - ceiling and floor effects - statistics flukes - sample differences/biases -reviewer issues -user errors -lack of funding/resources -procedure of original study is unclear
43
How to increase a study's replicability:
-make common techniques more accessible - use exact methodology when replicating - pre-register studies - open science- share original data - improve peer review process
44
Benefits of Meta-Analysis
test new questions discover new trends and patterns
45
Potential Issues of Meta-Analysis
Publication bias Conclusions are limited by the studies you include