Class notes manova
8 important questions on Class notes manova
Why do we prefer doing a manova instead of doing multiple anovas?
For planned contrasts, what do you check?
- Table contrast results
- check significance
- check confidence intervals, if they contain 0, no significant effect.
What are the assumptions of anova?
- Level of measurement
- normality
- linearity: the dependent variables are in linear next to each other, not explicitly correlation but both parallel linear equation
- homogeneity of variance
- homogeneity of covariance: equal covariances between dependent variables
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How do you test for equal covariances?
How do you run a manova in spss?
- Analyze - > General Linear Model -> Multivariate
- Vul de meerdere afhankelijke variabelen in onder dependent variables en de onafhankelijke variabelen onder fixed factors
- Als je een hypothese hebt kies je bij contrast voor simple en klik op change
- Als je geen hypothese hebt kies je voor een posthoc, bijvoorbeeld Tukey of Sidak
- Bij plots kun je de onafhankelijke variabele onder horizontal axis zetten om een hoofdeffect weer te geven
- Options -> Vink aan
- Descriptive statistics
- Homogeneity tests
- Descriptive statistics
Where can you check the main effect of the manova, so the combination of the dependent variables?
Where can you find the differences between groups per dependent variable?
What do you do if the assumption of equal covariances has been violated?
The question on the page originate from the summary of the following study material:
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