Using Results From Replicated Studies to Estimate Linear Models

Betsy Jane Becker

Journal of Educational and Behavioral Statistics, 1992, vol. 17, issue 4, 341-362

Abstract: This article outlines analyses for the results of a series of studies examining intercorrelations among a set of p + 1 variables. A test of whether a common population correlation matrix underlies the set of empirical results is given. Methods are presented for estimating either a pooled or average correlation matrix, depending on whether the studies appear to arise from a single population. A random effects model provides the basis for estimation and testing when the series of correlation matrices may not share a common population matrix. Finally, I show how a pooled correlation matrix (or average matrix) can be used to estimate the standardized coefficients of a regression model for variables measured in the series of studies. Data from a synthesis of relationships among mathematical, verbal, and spatial ability measures illustrate the procedures.

Keywords: meta-analysis; correlations; standardized regression (search for similar items in EconPapers)
Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:17:y:1992:i:4:p:341-362

DOI: 10.3102/10769986017004341

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