Estimation of Effect Size From a Series of Experiments Involving Paired Comparisons

Robert D. Gibbons, Donald R. Hedeker and John M. Davis

Journal of Educational and Behavioral Statistics, 1993, vol. 18, issue 3, 271-279

Abstract: This article develops the distribution theory for a Glass-type (1976) estimator of effect size from studies involving paired comparisons. We derive an unbiased estimator of effect size following Hedges’s (1981) work on combining effect sizes from independent samples. It is shown that studies involving mixtures of paired and independent samples can also be combined in this way. Approximate confidence limits for effect size are derived. The method is illustrated using an example from psychiatric research.

Keywords: effect size; paired comparison; meta-analysis (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/10769986018003271 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:18:y:1993:i:3:p:271-279

DOI: 10.3102/10769986018003271

Access Statistics for this article

More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().