9. Factorial designs and the GLM Flashcards

1
Q

Why are predictor variables referred to as independent variables?

A

Because their value is independent of other variables

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2
Q

Why are outcome variables referred to as dependent variables?

A

Because their value ‘depends’ upon other variables

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3
Q

What is a factorial design?

A

Two or more predictor variables/IV have been manipulated

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4
Q

What is an n-way design?

A

The number of predictor variables/IVs manipulated

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5
Q

What is independent design?

A

Different entities in all conditions

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6
Q

What is repeated measures design?

A

The same entities in all conditions

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7
Q

What is mixed design?

A

Different entities in all conditions of at least one predictor/IV, the same entities in all conditions of at least one other predictor variable/IV

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8
Q

What is an interaction term?

A

The product of two variables

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9
Q

What does it mean if the interaction term is significant?

A

We have a significant moderation effect

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10
Q

What does the parameter estimate (b) for the interaction quantify?

A

The size of the interaction effect

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11
Q

In factorial designs, the effect of one predictor is stronger when?

A

In certain categories of the other predictor

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12
Q

It is never sensible to interpret main effects in the presence of…

A

A significant interaction effect

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