A generalized formula for converting chi-square tests to effect sizes for meta-analysis

49Citations
Citations of this article
154Readers
Mendeley users who have this article in their library.

Abstract

The common formula used for converting a chi-square test into a correlation coefficient for use as an effect size in metaanalysis has a hidden assumption which may be violated in specific instances, leading to an overestimation of the effect size. A corrected formula is provided. © 2010 Michael S. Rosenberg.

Cite

CITATION STYLE

APA

Rosenberg, M. S. (2010). A generalized formula for converting chi-square tests to effect sizes for meta-analysis. PLoS ONE, 5(4). https://doi.org/10.1371/journal.pone.0010059

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free