Chapter 10 introduces the most commonly used non-parametric tests, as well as the appropriate situations for their use. It also examines concepts of sample size, power, and validity when using these tests. In addition, this chapter discusses the major advantages and disadvantages of non-parametric tests, and how they compare to their optimal parametric alternatives. A brief theoretical explanation is provided for the main non-parametric tests, including Wilcoxon Sign Rank, Mann-Whitney, and Kruskal-Wallis. However, the main goal of this chapter is to provide a summary of how to use them correctly. Additionally, the reader will learn how to perform and interpret the output for these tests in statistical softwares (STATA and SPSS).
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