MANOVA Flashcards

(11 cards)

1
Q

What is a MANOVA

A

A one way (between subjects) ANOVA, but with more DVs

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2
Q

What will MANOVA tell you

A

There is an overall difference between the groups across all the DVs you are looking at

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3
Q

MANOVA post-hoc test workflow

A

Is the MANOVA test significant?

Yes –> Are the individual ANOVAs significant?

Yes –> Does the IV have more than 2 levels?

Yes –> Post-hoc test

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4
Q

Why would you do a MANOVA instead of individual ANOVAs

A
  1. Situations where part of your research question is about whether your IV has an overall effect on all of the DVs
    e.g. does pet ownership effect mental health? - usually only happens when individual DVs are a smaller part of a larger construct
  2. Controlling error rates by avoiding multiple testing
    but don’t correct for multiple comparisons in MANVOVA
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5
Q

Pillai’s trace

A

A type of multivariate test

conservative - lower power, but robust against violations of assumptions

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6
Q

Assumptions of MANOVA

A

DV should be at scale level
Data should be normally distributed

Equal variances - levenes test has to be done for all the DVs
- assumption is violated if any of the tests come back as significant

Equality of covariance matrices

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7
Q

Equality of covariance matrices

A

Correlation between the difference DVs should be the same across the groups of the between subjects IV

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8
Q

Box’s tests

A

Used to test equality of covariance matrices

But its very sensitive to potential violations
Because of this, people often do the significance test using an lower alpha level of 0.01 instead of 0.05
Use a lower p value to reject the null hypothesis and say the assumption is violated

not significant = assumption is met - there is equality of covariance matrices which is good

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9
Q

When is effect size reported

A

Not for the whole MANOVA

Is reported for the individual ANOVAs

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10
Q

How is MANOVA written up

A

There was a statistically significant overall effect of … on the dependent variables (Pillai’s Trace = , F(df) = , p=)

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11
Q

How are the individual ANOVAs written up

A

f (df) = , p = , np2=

post hoc
m = , sd= , p=

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