Hi, I have data that are not distributed normally, i tried to make it normal by using log, inverse, or root square transformations but without any success. Are there non-parametric tests that can test moderation? So far i just analyzed men and women separately using Mann Whitney test (with the split file function in SPSS). Is there some way to explore whether the interaction with gender is significant?
Hi,
Certainly, bootstrapping methods can be employed to examine moderation effects in data sets that don't adhere to a normal distribution. This technique is not reliant on normality assumptions and is useful for investigating interactive effects, like gender. Statistical software packages, including SPSS, offer features to carry out bootstrapping.
Hope this helps.
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