Repeated Measures ANOVA Flashcards

1
Q

How do we sort variability between subjects?

A

Random sampling to cancel out individual characteristics

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2
Q

What are the sources of variance?

A

Experimental manipulation
Individual differences is cancelled out by repeatedly testing same ppts

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3
Q

What are the benefits of repeated measures testing?

A

Increased sensitivity
Economy - fewer ppts needed

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4
Q

What is the df calculation?

A

(No treatment) x (no ppts)

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5
Q

How do you calculate within-subjects model variability?

A

Calculate variability of each subject around their own mean and sum them all up

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6
Q

What is the sphericity assumption?

A

Variance of the difference across pairs of conditions should be almost the same
Assessed with Mauchlys test - p<.05 sphericity violated, p>.05 sphericity not violated

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7
Q

What are corrections for the violation of the sphericity assumption?

A

Greenhouse-Geisser
Huynh-Fieldt estimate
Rely on adjusting df

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8
Q

What are post-hocs for repeated measure ANOVAs?

A

Compare all pairs of means
Some more conservative than others e.g. Bonferroni > Holm
Many posthocs based on t tests with adjusted p value

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9
Q

What is needed to carry out mauchleys test?

A

3+ groups

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10
Q

How do calculate MS?

A

Adjust SS model/ residual by df

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11
Q

Why does residual error differ?

A

Lower due to individual differences factored out

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12
Q

What does the x*x column show?

A

2IVs interact with each other
Effect of 1 IV significantly depends on another

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