Author(s): SnchezMeca J, MarnMartnez F, ChacnMoscoso S, SnchezMeca J, MarnMartnez F, ChacnMoscoso S
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Abstract It is very common to find meta-analyses in which some of the studies compare 2 groups on continuous dependent variables and others compare groups on dichotomized variables. Integrating all of them in a meta-analysis requires an effect-size index in the same metric that can be applied to both types of outcomes. In this article, the performance in terms of bias and sampling variance of 7 different effect-size indices for estimating the population standardized mean difference from a 2 x 2 table is examined by Monte Carlo simulation, assuming normal and nonnormal distributions. The results show good performance for 2 indices, one based on the probit transformation and the other based on the logistic distribution.
This article was published in Psychol Methods
and referenced in Journal of AIDS & Clinical Research