This video shows how to test the assumption of homogeneity of covariances for the mixed ANOVA in SPSS.
First, let me explain what this actually is: Homogeneity of covariances is an abbreviation for the homogeneity of covariances of the between-subject factor, aka. the group.
Or put another way, the covariance matrices for the groups have to be roughly equal.
A common test for homogeneity of covariances is Box’s M test.
Its null hypothesis assumes homogeneity of covariance matrices, meaning you would rather not reject the null hypothesis.
The Box’s M test is however susceptible to errors if the sample size is too large or small or the assumption of normality is violated. It is therefore advised to proceed with caution and use a lower than usual alpha value, i.e. 0.001
To get to Box’s M test in SPSS, you need to request homogeneity tests through the mixed ANOVA procedure.
⏰ Timestamps:
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0:00 Introduction and overview
0:20 Box's M Test for Homogeneity of Covariances
0:46 Calculating Box's M Test for Homogeneity of Covariances in SPSS
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