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All Journal International Business and Accounting Research Journal
Shahzad, Shakeel
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Economics, Econometrics & Finance

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The Most Powerful Test of Independence in W× K Contingency Tables for Ordinal Data Using Monte Carlo Simulations Shahzad, Shakeel; Khan, Saud Ahmed; Rehman, Atiq-Ur-
International Business and Accounting Research Journal Vol 8, No 2 (2024): July 2024
Publisher : Sekolah Tinggi Ekonomi dan Bisnis Islam Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35474/ibarj.v8i2.280

Abstract

This study aims to analyze the performance of tests of independence for ordinal data. Tests of independence is one of the most frequently used statistical tools in econometrics. Researchers are often interested about the independence of variable summarized in Contingency Tables. Many tests are available in literature to test independence in Contingency Tables, however, there is no clarity about the choice of tests which are incapable to provide comparison of large number of tests. A central problem and question facing researcher is to decide which tests of independence is most powerful for ordinal data. Most of the studies make pairwise comparison of tests and such studies are unable to guide about optimal test among a wide set of tests. This study used Monte Carlo Simulations (MCS) and compares seven popular tests of independence for ordinal data namely, Spearman  coefficient of correlation, Kendall’s , Kendall’s  coefficient, Goodman and Kruskal , Sumer’s D and Novel Phi_k . For ordinal data the stringency criteria cannot be applied to compare tests. Therefore, the comparison was made on the basis of power analysis and our MCS concludes based on solid estimations using power criterion that the most powerful test is Novel in  k CT’s for ordinal data.    
Co-Authors Khan, Saud Ahmed Rehman, Atiq-Ur-