How to Perform a MANOVA in SPSS
In this example, we will look at a “multivariate” analysis of variance. The difference between “univariate” and “multivariate” analyses is that a “univariate” analysis has only one dependent variable (with any number of independent variables / predictors). A “multivariate” analysis, on the other hand, has many dependent variables (again, with any number of IVs). The goal of our analysis is to look for an effect of one or more IVs on several DVs at the same time. Therefore, we’re going to use the familiar “general linear model” command in SPSS, but choose a “multivariate” analysis.
This dataset has information about whether a person is in one of several different experimental groups (“group”), and their scores on three different types of memory tests (recognition, free recall, and cued recall). The difficulty level of each memory task is also rated.
We will treat the three different memory tasks as different examples of a single phenomenon (“memory”). Therefore, we will look at all three together as dependent variables in our analysis. A dialog box will appear. It should look very similar to the dialog box that we’ve been using for the past two weeks (except that it says “multivariate” up here, instead).
Remember that there’s no one single multivariate test; there are four different ones. In this case they’re all significant (p < .05), so we can conclude that Group Membership did have a significant effect on the three different memory variables.
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