Title

A Procedure For Combining Sample Correlation Coefficients And Vote Counts To Obtain An Estimate And A Confidence Interval For The Population Correlation Coefficient

Abstract

Missing effect-size estimates pose a particularly difficult problem in meta-analysis. Rather than discarding studies with missing effect-size estimates or setting missing effect-size estimates equal to 0, the meta-analyst can supplement effect-size procedures with vote-counting procedures if the studies report the direction of results or the statistical significance of results. By combining effect-size and vote-counting procedures, the meta-analyst can obtain a less biased estimate of the population effect size and a narrower confidence interval for the population effect size. This article describes 3 vote-counting procedures for estimating the population correlation coefficient in studies with missing sample correlations. Easy-to-use tables, based on equal sample sizes, are presented for the 3 procedures. More complicated vote-counting procedures also are given for unequal sample sizes. © 1995 American Psychological Association.

Publication Date

1-1-1995

Publication Title

Psychological Bulletin

Volume

117

Issue

3

Number of Pages

530-546

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1037/0033-2909.117.3.530

Socpus ID

11944261102 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/11944261102

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