Is MANOVA and repeated measures ANOVA the same?
MANOVA can be useful in situations that include multiple observed outcome variables, and especially for similar measures of the same construct. Repeated measures analysis of variance (ANOVA) does not test multiple measures at once but tests the same measure at multiple times.
What does MANOVA tell us?
The one-way multivariate analysis of variance (one-way MANOVA) is used to determine whether there are any differences between independent groups on more than one continuous dependent variable. In this regard, it differs from a one-way ANOVA, which only measures one dependent variable.
When to use a repeated measures ANOVA in statistics?
A repeated measures ANOVA will not inform you where the differences between groups lie as it is an omnibus statistical test. The same would be true if you were investigating different conditions or treatments rather than time points, as used in this example.
Which is better for one way repeated measures MANOVA?
Although the larger your sample size the better, for a one-way repeated measures MANOVA to run, you need to have more cases (e.g., participants) in each related group than the number of dependent variables you are analysing.
How to run post hoc tests for a repeated measures ANOVA in SPSS Statistics?
You can learn how to run appropriate post-hoc tests for a repeated measures ANOVA in SPSS Statistics on page 2 of our guide: One-Way Repeated Measures ANOVA in SPSS Statistics. The logic behind a repeated measures ANOVA is very similar to that of a between-subjects ANOVA.
How many time points can a MANOVA tell us?
It can only tell us that at least two related groups (i.e., time points) were different. Since you may have three, four, five or more time points (or treatments) in your study design, determining which of these related groups differ from each other is important.