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Choosing the Right Statistical Test for Ordinal and Interval Scale Variables

This review explores the appropriate statistical tests for evaluating relationships and comparing scores between different types of variables. We discuss the Friedman test, Mann-Whitney test, Spearman correlation, and Kruskal-Wallis test for ordinal-scale variables and interval-scale variables with non-normal distributions. The paper highlights scenarios with eight subjects measured in two conditions, as well as 50 subjects in two groups, guiding researchers in selecting the best test for their data analysis needs.

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Choosing the Right Statistical Test for Ordinal and Interval Scale Variables

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  1. Review Evaluating the relationship between two ordinal-scale variables. What test should you use? • Friedman • Mann-Whitney • Spearman • Kruskal-Wallis

  2. Review Eight subjects each measured in two conditions, on an interval-scale variable with a non-normal distribution. What test should you use? • Kruskal-Wallis • Wilcoxon • Friedman • Spearman

  3. Review Comparing average scores between two groups of 50 subjects each, on an interval-scale variable with a non-normal distribution. What test should you use? • Kruskal-Wallis • Independent-samples t-test • Friedman • Mann-Whitney

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