Related ANOVA Flashcards

1
Q

What is the df for our original data?

A

N -1

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2
Q

What is the related ANOVA?

A

This is an extension of the related t-test.
Can be paired or related design.
More commonly known as repeated measures ANOVA

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3
Q

What does the IV and DV need to be for the related ANOVA?

A

The IV is the different occasions measure is taken.

Dv is the score

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4
Q

Do we have to have an equal number or scores for all conditions or not?

A

We have to have an equal amount

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5
Q

How is the related ANOVA different to unrelated?

A

It reduces error by removing individual differences.
This assumes that the obtained score is comprised of three components. The true value, individual difference component, residual error component.

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6
Q

What is the individual differences component referring to?

A

The tendency for a person to score consistently across conditions.
This is produces some of the error and we can estimate this and remove it from our score.

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7
Q

How do we calculate the individual differences?

A

By finding the means of each row/participants individual scores.
We then replace all scores in that row with the row means from the error score table. Then find the variance

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8
Q

How do we calculate residual error scores?

A

Start by calculating error scores as normal.
Then we subtract the row means (individual difference error) from each score in its row.
Individual differences have been removed leaving residual error scores.

Just like we do with true/error scores, we find the variance of these remaining scores. But the df changes for residual error, it is (columns -1) x (rows -1)

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9
Q

How do we calculate the related ANOVA in spss?

A

Analyze -> general linear model -> repeated measures…

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10
Q

What is the degrees of freedom?

A

It tells us the number of distinct units of information that are contained in our data set. It refers to how many scores we can change and still retain the same overall mean.
Important they are correct because they ensure we find the correct significance value.
Important to report them because they report statistical information.

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