Abstract
If your data are pretty complex and involve both repeated outcomes and different types of predictors including categorical ones, then multivariate methods (Chaps. 17and 18) would be required for an overall analysis. However, with small samples, power is little, and an optimized univariate analysis testing the outcomes separately is an alternative. Automatic nonparametric testing chooses the best tests based on the data. Also, it takes account of nongaussian outcomes.
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CITATION STYLE
Cleophas, T. J., & Zwinderman, A. H. (2016). Automatic Nonparametric Testing (30 Patients). In SPSS for Starters and 2nd Levelers (pp. 79–84). Springer International Publishing. https://doi.org/10.1007/978-3-319-20600-4_14
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