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A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis
The common formula used for converting a chi-square test into a correlation coefficient for use as an effect size in meta-analysis has a hidden assumption which may be violated in specific instances, leading to an overestimation of the effect size. A corrected formula is provided.
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| Formato: | Texto |
| Lenguaje: | English |
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Public Library of Science
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2850938/ https://www.ncbi.nlm.nih.gov/pubmed/20383281 http://dx.doi.org/10.1371/journal.pone.0010059 |
| Sumario: | The common formula used for converting a chi-square test into a correlation coefficient for use as an effect size in meta-analysis has a hidden assumption which may be violated in specific instances, leading to an overestimation of the effect size. A corrected formula is provided. |
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