Anova Lectures Flashcards

1
Q

What analysis technique is used when there is one IV with 2 levels?

A

T test

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2
Q

F ratio formula

A

Variance of the model/ variance of the error

=MSm/ MSr

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3
Q

Levenes test

A

Independent groups

Must be non significant to assume homogeneity of variance

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4
Q

Mauchlys test

A

Repeated measures

Must be non significant to assume sphericity

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5
Q

Bonferroni

A

Pair wise comparison

Most conservative measure of risk reduction

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6
Q

Tukey

A

Pair wise comparison

Used when there are lots of comparisons

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7
Q

Why do we do pairwise comparisons rather than lots of Ttests as post hoc exploration

A

To reduce type 1 errors

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8
Q

When to use planned contrast

A

When you have prediction about levels

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9
Q

Which proportion of the total variance is ignored in repeated measure ?

A

Between subject variance

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10
Q

When you have a 3 main effects, a 3 way interaction and several 2 way interactions.. Which should you explore and report first?

A

3way interaction
2 way interactions
Main effects

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11
Q

What is a covariate

A

A factor which also affects the DV

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12
Q

How does it improve analysis

A

Makes it more pure

Protects internal validity

More realistic than controlling for everything in the design

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13
Q

The covariate should affect what…?

A

It should affect the DV but have no influence on the IV

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14
Q

When to use an ANOVA

A

Continuous DV

Categorical IV with more than 2 levels
OR
More than 1 Categorical IV and 2 or more levels

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