models and experiments Flashcards

1
Q

how would you describe a linear model as an equation

A

outcome = model + error

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2
Q

experiment

A

outcome = design + error

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3
Q

testing hypothesis in one way design

A

main effects and contrasts

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4
Q

contrasts (one-way designs)

A

differences between specific group means (coding schemes and associated B)

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5
Q

main effects (one-way designs)

A

overall effect of a condition (f - test)

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6
Q

testing hypothesis in two-way (+) designs

A

interactions
simple contrasts/effects

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7
Q

interactions (two-way design)

A

categorical * categorical (based on effects coding using F-tests and B coefs)

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8
Q

simple contrasts/effects (two-way design)

A

effect of one level in one condition, across levels of another condition

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9
Q

pairwise comparisons

A

compares all levels of a given predictor variable with all levels of the other

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10
Q

what happens if you do lots of pairwise tests?

A

chances of type 1 error increase

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