American Board of Surgery Qualifying Exam (ABS QE) Practice Test

Disable ads (and more) with a membership for a one time $2.99 payment

Prepare for the ABS QE with flashcards and multiple-choice questions. Each question provides hints and explanations to enhance understanding. Start your journey to becoming a certified surgeon and tackle your exam with confidence!

Start Multiple Choice Practice Test
Start Flash Cards

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.

Which of the following tests is appropriate for ordinal data and more than two groups?

  1. ANOVA

  2. Friedman's ANOVA

  3. Mann-Whitney U-test

  4. Chi-square test

The correct answer is: Friedman's ANOVA

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.

More Questions Like This