Week 7 Factorial ANOVA Flashcards

1
Q

Factorial ANOVA

A

Used to capture the joint effects of X and are reflected in statistical models

Introduces new sources of variance
- interaction - Product of basic X’s (Act as own X, like a product term)

Benefit - reduces the error term by using an interaction effect (Come out of error and become systematic)

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2
Q

Effects in 2- way interaction

A

Higher order effect - 2 way interaction (Always test significance of this first)
Lower order effect - Main effects

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3
Q

Non significant interaction effect

A

Mean there is no overlap between sources of variance

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4
Q

Two way Anova

A

Have 2 main effect and an interaction effect

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5
Q

Three way interaction

A

Have 3 main effect
Have 3 two way interaction
Have 1 three way interaction

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6
Q

Unbalanced design

A

total mean is weighted

Look at type 3 ss data in output (automatically generated by SPSS)

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7
Q

Balanced design

A

Descriptive and ANOVA the same

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8
Q

Emmeans

A

Estimated marginal means

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9
Q

Three - Way Interaction

A

Occurs when two factors have different two-way interactions across levels of the third (Moderation of moderation)

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