Detalhes bibliográficos
| Resumo: | 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. |
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| Autores principais: | Ozturk , Ebru |
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| Outros Autores: | Basol, Merve; Goksuluk , Dincer; Karahan , Sevilay |
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| Assunto: | contingency table power power divergence simulation study type one error |
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| Ano: | 2023 |
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| País: | Portugal |
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| Tipo de documento: | artigo |
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| Tipo de acesso: | unknown |
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| Instituição associada: | Instituto Nacional de Estatística |
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| Idioma: | inglês |
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| Origem: | REVSTAT-Statistical Journal |
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