Psychology Research Methods: Experiments, Designs, and Statistical Analysis

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28 Terms

1
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What must exist for a cause-and-effect relationship between an IV and DV?

Association (correlation), temporal priority, and control of common-causal variables.

2
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What is random assignment used for in experiments?

To create equivalence between groups and control common-causal variables.

3
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What happens if there is no random assignment but IV is manipulated?

A quasi-experiment is performed.

4
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What tests are used in one-way between-subjects designs?

Independent t-tests and Between-Subjects ANOVA.

5
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What is the main goal of a true experiment?

To establish cause-and-effect relationships between IV and DV.

6
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What is a one-way experiment?

An experiment with one independent variable.

7
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What are within-subjects designs also called?

Repeated-measures designs.

8
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What test is used for two groups in a within-subjects design?

Dependent t-test.

9
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What test is used for three or more groups in a within-subjects design?

Within-Subjects ANOVA (Repeated Measures ANOVA).

10
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What are advantages of repeated-measures designs?

Increased statistical power and economy of participants.

11
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What are disadvantages of repeated-measures designs?

Carryover effects, practice effects, fatigue, and testing threats to internal validity.

12
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What happens when multiple alphas are used?

They add up, increasing the chance of Type I Error (familywise error).

13
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When do we reject the null hypothesis?

When p ≤ alpha (e.g., p ≤ .05).

14
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What does it mean when p > alpha?

We fail to reject the null hypothesis (no significant difference).

15
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What do significant differences mean?

Differences unlikely due to chance (random error).

16
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What must true experimental designs include?

Manipulated IV, association, temporal priority, control of confounds, and random assignment.

17
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What can true experiments claim?

Cause-and-effect relationships.

18
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What is missing in quasi-experimental designs?

Random assignment.

19
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What can quasi-experiments claim?

Limited cause-and-effect relationships.

20
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What do nonexperimental designs lack?

Manipulated IV and temporal priority.

21
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What can nonexperimental designs claim?

Only relationships, not causation.

22
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What are factorial experimental designs?

Experiments with two or more independent variables (factors).

23
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What does a 2x2 design mean?

Two independent variables with two levels each.

24
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How many conditions are in a 2x2 design?

Four conditions.

25
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What is a main effect?

The independent effect of one factor on the DV.

26
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What is an interaction effect?

When the effect of one IV depends on the level of another IV.

27
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Why are post-hoc tests used?

To find where significant differences exist and avoid inflated Type I error (familywise error).

28
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What designs can factorial ANOVA be used for?

True, quasi-, or nonexperimental designs (between-, within-, or mixed-groups).