Non-parametric statistics are used with categorical/ordinal outcomes and statistical assumption violations
Non-parametric statistics are used with categorical and ordinal outcomes. Non-parametric statistics are also used when the statistical assumptions of parametric statistics are violated. The statistical assumptions of parametric statistics include normality, linearity, homogeneity of variance (homoscedasticity), and model fit (residual analysis). Non-parametric statistics should also be used when examining small sample sizes (n < 20).
Types of non-parametric statistics
Click on a button below to access the methods for conducting and interpreting non-parametric statistics.
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