6. Categorical Predictors: Comparing means Flashcards

1
Q

In experimental research, predictors in the linear model are defined by…

A

a manipulation

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2
Q

The F-statistic quantifies the fit of the model to the data. What does the fit represent?

A

The experimental manipulation which defines the predictor

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3
Q

Significant fit equates to…

A

Significant effect of the experimental manipulation

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4
Q

You can code any categorical predictor into a series of ____ variables

A

dummy

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5
Q

The b for each dummy variable will be the difference in ____ between each category and the ____

A

means, baseline

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6
Q

Define overall fit

A

The ratio of how well the model fits to how much error it has
(model = differences between means
F = ratio of the experimental effect to the background ‘error’)
Tests whether group means differ overall

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7
Q

Parameter estimates break down…
and tell us specifically…

A

The overall fit
Which means differ

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