Methods for second order meta-analysis and illustrative applications

Frank L. Schmidt and In-Sue Oh

Organizational Behavior and Human Decision Processes, 2013, vol. 121, issue 2, 204-218

Abstract: This paper presents methods for second order meta-analysis along with several illustrative applications. A second order meta-analysis is a meta-analysis of a number of statistically independent and methodologically comparable first order meta-analyses examining ostensibly the same relationship in different contexts. First order meta-analysis greatly reduces sampling error variance but does not eliminate it. The residual sampling error is called second order sampling error. The purpose of a second order meta-analysis is to estimate the proportion of the variance in mean meta-analytic effect sizes across multiple first order meta-analyses attributable to second order sampling error and to use this information to improve accuracy of estimation for each first order meta-analytic estimate. We present equations and methods based on the random effects model for second order meta-analysis for three situations and three empirical applications of second order meta-analysis to illustrate the potential value of these methods to the pursuit of cumulative knowledge.

Keywords: Meta-analysis; Second order meta-analysis; Research synthesis; Sampling error (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jobhdp:v:121:y:2013:i:2:p:204-218

DOI: 10.1016/j.obhdp.2013.03.002

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