2- Within and Mixed Design ANOVA

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Flashcards about Within and Mixed Design ANOVA based on lecture notes.

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20 Terms

1
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What is a within-subjects design also known as?

Repeated measures design/ANOVA

2
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In a within-subjects design, do the same people take part in all possible levels of an independent variable?

Yes

3
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What is a risk when controlling for individual differences in a within-subjects design?

Carryover effects

4
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What assumption needs to be made in within-subjects ANOVA?

Sphericity

5
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What is sphericity?

An assumption about variances where the differences between each pair of 'treatment levels' should have equal variance.

6
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When is sphericity only important?

If a variable has three or more levels

7
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What does violated sphericity lead to?

Increased risk of Type 1 error

8
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What test assesses whether variances of the differences are equal?

Mauchley’s test

9
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If the assumption of sphericity is violated, what happens to the degrees of freedom?

Corrections are made to degrees of freedom.

10
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In adjusting degrees of freedom what is generally okay to use?

Greenhouse-Geisser

11
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What are the components of Total Variability (SST)?

Between-participant variability (SSBetween) and Within- participant variability (SSW)

12
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What are the components of Within-participant variability (SSW)?

Effects of the experiment (SSM) and Unexplained variability/error (SSR)

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How is SSM calculated?

Same as a between-groups ANOVA

14
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How is SSR calculated?

Subtract SSM from SSW

15
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What is the formula to calculate Main effect df (SSM)?

a-1 (number of levels of Factor A-1)

16
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What is the formula to calculate Error term df (SSR)?

(a-1)(s-1) (main effect df x subject df)

17
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With Two-way within-subjects ANOVAs what does Within- participant variability break down into?

Effects of Factor A(SSA), Effects of Factor B (SSB), Interaction (SSAxB), and Unexplained variability/error (SSR)

18
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What is a Mixed Design ANOVA?

An ANOVA that contains both between-groups and within-subjects independent variables

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What assumptions need to be checked for regarding Mixed design ANOVA?

Equality of error variance in between-groups factors, Equality of variances across different levels of within-subjects factors, and Equality of covariances between within-subjects factors at each between-groups factor level

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What are the tests to check assumptions for Mixed design ANOVA?

Levene’s test, Mauchley’s test, and Box’s M test