Evaluation of Analysis of means, Wald, and Log-likelihood ratio tests in comparing independent proportions

YİĞİT, SONER (2025) Evaluation of Analysis of means, Wald, and Log-likelihood ratio tests in comparing independent proportions. International Journal of Science and Research Archive, 16 (1). pp. 1180-1187. ISSN 2582-8185

Abstract

In this study, in experiments where groups are compared based on a binary variable, the Analysis of Means (ANOM), Wald, and Log-Likelihood Ratio tests for proportions were compared under comprehensive experimental conditions in terms of type I error rate and test power. As a result of 50,000 simulations, it was observed that the type I error rate for ANOM stayed within the 4.00% to 6.00% range under all experimental conditions. For the LR test, the type I error rate was negatively affected by small sample sizes (n=10, sometimes n=20). For the Wald test, the type I error rate generally fell outside the 4.00%-6.00% limits and was quite irregular. In terms of test power, ANOM and the LR test were similar, although ANOM performed slightly better. Considering both type I error rate and test power together, ANOM was found to be considerably superior to the other two tests.

Item Type: Article
Official URL: https://doi.org/10.30574/ijsra.2025.16.1.2094
Uncontrolled Keywords: ANOM; Monte Carlo Simulation; Type I Error; Test Power; Binary Outcome
Date Deposited: 01 Sep 2025 12:23
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/4570