![]() ![]() This dialog was greatly improved in SPSS version 27 and now includes measures of effect size such as (partial) eta squared. The easiest way to go -especially for multiple variables- is the One-Way ANOVA dialog. Several SPSS commands contain an option for running Levene’s test. However, since we've unequal sample sizes, we first need to make sure that our supplement groups have equal variances. This can be done with an ANOVA for each of the 4 body fat measurements. For now, we'll leave it as an exercise to the reader to carry this out. Weeks would be the within-subjects factor and supplement would be the between-subjects factor. Perhaps a better approach to these data is using a single mixed ANOVA. One approach to these data is comparing body fat percentages over the 3 groups (placebo, thyroid, cortisol) for each week separately. This results in fatloss-unequal.sav, part of which is shown below. An additional 40 people receive a placebo.Īll 80 participants have body fat measurements at the start of the experiment (week 11) and weeks 14, 17 and 20. They test 2 supplements (a cortisol blocker and a thyroid booster) on 20 people each.
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