Development and Monte Carlo Evaluation of Meta-Analytic Estimators for Correlated Data

Lawrence Roth, Paul R. Sackett

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Techniques for estimating the mean and variance of true rho from correlations between one common measure and several other measures in the same data set (i.e., correlated data) are derived and tested using Monte Carlo simulations. Large sample simulations revealed that mean rho and rho variance estimates are essentially unbiased. Small sample size simulations revealed that the estimators are useful for many theoretically and practically important problems.

Original languageEnglish (US)
Pages (from-to)318-327
Number of pages10
JournalPsychological Bulletin
Volume110
Issue number2
DOIs
StatePublished - Sep 1991

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