Psychology Stats

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Last updated 9:46 AM on 6/14/26
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16 Terms

1
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Why is ANOVA used instead of multiple t-tests?

ANOVA compares 3 or more means simultaneously while controlling familywise Type I error.

2
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What is familywise error?

The increased probability of making at least one Type I error when conducting multiple statistical tests.

3
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What is a factor in ANOVA?

The independent variable being studied.

4
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What are levels in ANOVA?

The different groups or conditions within a factor.

5
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What is the null hypothesis for a one-way ANOVA?

All population means are equal.

6
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What does a significant F-ratio indicate?

It indicates at least one group mean differs from the others.

7
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Why is ANOVA called an omnibus test?

It tells us whether any differences exist but not which groups differ.

8
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Follow-Up Tests

Front: Why are follow-up tests conducted after a significant ANOVA?
Back: To determine which specific means differ.

9
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What is the purpose of the Bonferroni procedure?

To reduce the risk of Type I error when making multiple comparisons.

10
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What are linear contrasts used for?

To test specific predicted differences among means.

11
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What does omega-squared (ω²) measure?

The proportion of variance explained by the treatment.

12
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When is a repeated measures ANOVA used?

When the same participants are tested in all conditions.

13
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What is a major advantage of repeated measures ANOVA?

It controls for individual differences and increases statistical power.

14
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What is a main effect?

The effect of one independent variable averaged across levels of other variables.

15
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What is an interaction effect?

When the effect of one independent variable depends on the level of another independent variable.

16
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What usually indicates an interaction on a graph?

Non-parallel or crossing lines.