Description
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.
Copyright Statement
Reuse Permissions
Details
Title
- A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis
Contributors
- Rosenberg, Michael (Author)
- Biodesign Institute (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2010-04-07
Resource Type
Collections this item is in
Identifier
- Digital object identifier: 10.1371/journal.pone.0010059
- Identifier TypeInternational standard serial numberIdentifier Value1045-3830
- Identifier TypeInternational standard serial numberIdentifier Value1939-1560
Note
- The article is published at http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0010059, opens in a new window
Citation and reuse
Cite this item
This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.
Rosenberg, M. S. (2010). A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis. PLoS ONE, 5(4). doi:10.1371/journal.pone.0010059