This video shows how to test the assumption of homogeneity of variances for the mixed ANOVA in SPSS. First, let me explain what this actually is. Homogeneity of variances means equal variances across the groups for each point in time. Or put another way: at each point in time you compare the variances for the test variable of the groups.
An eye test can be a helpful first option. One can use the convenient dplyr-package and pipes to get descriptive data to roughly judge whether the assumption is met or not.
The second option is the Levene's test. It's null hypothesis asssumes equal variances. If you need to do a Levene’s test you can request it via the mixed ANOVA calculation under Homogeneity tests.
Be warned though that the Levene’s test, like any other analytical test will produce small p-values with an increase in sample size - even though the differences might very well be negligible. I therefore DO NOT recommend doing this test.
References:
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📕 Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics, SAGE.
⏰ Timestamps:
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0:00 Introduction and overview
0:16 Eye test with descriptive analysis
1:34 Levene's test
If you have any questions or suggestions regarding checking homogeneity of variances for the mixed ANOVA, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statorials
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