American Board of Surgery Qualifying Exam (ABS QE) Practice Test 2026 - Free Surgery Exam Practice Questions and Study Guide

Friedman's ANOVA is the appropriate test for analyzing ordinal data across more than two groups. This statistical method is a non-parametric alternative to repeated measures ANOVA and is particularly useful when the data are not normally distributed or when the assumption of sphericity is not met. It specifically addresses scenarios where the dependent variable is measured on an ordinal scale, allowing for comparisons of multiple related groups.

In contrast, ANOVA is generally suited for continuous data and assumes normality, which does not align with the characteristics of ordinal data. The Mann-Whitney U-test is designed for comparing two independent groups rather than more than two, making it unsuitable for this situation. The Chi-square test is primarily used for categorical data to assess the association between two categorical variables and does not appropriately handle ordinal data across multiple groups in the manner that Friedman's ANOVA does.