Repeated Measures Designs Flashcards

1
Q

What are the two sources of variation?

A

Systematic variation - due to the experimenter doing something to all of the participants in one condition

Unsystematic variation - variation from random factors that could not be controlled

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2
Q

Where does the source of variance come from?

A

Within the participants

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3
Q

Benefits

A

Sensitivity - unsystematic variance is reduced, more sensitivity to experimental effects - will see experimental effect more

Economy - less participants are needed, but fatigue, practise effects

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4
Q

What is the variance in a repeated measures design?

A

The variation in an individuals scores across the different conditions

small variance = results similar over conditions
big variance = results very different

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5
Q

What is sphericity?

A

Sphericity refers to the equality of variances of the differences between treatment levels - the relationship between pairs of pairs of groups is similar

the correlation across conditions should be the same

the variances of differences between conditions is equal

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6
Q

What assumption is violated?

A

Independent errors:
Because the same participants are in all conditions, scores are correlated with each other as it is the same persons scores

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7
Q

What does sphericity do?

A

Correct the degrees of freedom

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8
Q

What estimates are used?

A

Greenhouse-geisser estimate
Hyynh-feldt estimate
Lower bound estimate

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9
Q

What tests for sphericity?

A

Mauchly’s test - don’t do this
P less than .5 =violated
Bigger = met

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10
Q

When is sphericity met?

A

When the variances across all of the conditions are the same

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11
Q

How do you correct for the degrees of freedom?

A

Times the degrees of freedom by the amount of sphericity

eg. if GHG = .533
DOF = 3

3 times .533 = 1.59
these are your new degrees of freedom

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12
Q

What is perfect sphericity?

A

1

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13
Q

What follow up tests can you do?

A

Built in contrasts (simple contrast - dummy coding)

Post hoc tests - more limited options for this

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14
Q

What does bonferroni do?

A

The alpha rate never rises above 5%

a divided by number of tests

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15
Q

What is crucial in repeated measures designs?

A

Counterbalancing
Latins square - make an N by N square where each condition appears once in each row and column
3 conditions - 3x3 = 9 cells

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