Performance Comparison of Independence Tests in Two-Way Contingency Table

Öztürk E., Başol Göksülük M., Göksülük D., Karahan S.

REVSTAT STATISTICAL JOURNAL, vol.21, no.2, pp.219-233, 2023 (SCI-Expanded)

  • Publication Type: Article / Article
  • Volume: 21 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.57805/revstat.v21i2.403
  • Journal Name: REVSTAT STATISTICAL JOURNAL
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, zbMATH
  • Page Numbers: pp.219-233
  • Hacettepe University Affiliated: Yes

Abstract

Several test statistics are available for testing the independence of categorical variables from two-way contingency tables. A vast majority of published articles used the Pearson’s chi-squared test for such purposes; however, this test statistic may lead to biased conclusions under certain conditions. Therefore, we aimed to compare the performance of test statistics via a comprehensive simulation study considering several factors in contingency tables. We also evaluated the performance of each test statistic on a real-life dataset. This study contributes to the literature guiding researchers to select an appropriate test statistic under different conditions.