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Fixed Effects and Variance Components Estimation in Three-Level Meta-Analysis

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  • Konstantopoulos, Spyros

    ()
    (Michigan State University)

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    Abstract

    Meta-analytic methods have been widely applied to education, medicine, and the social sciences. Much of meta-analytic data are hierarchically structured since effect size estimates are nested within studies, and in turn studies can be nested within level-3 units such as laboratories or investigators, and so forth. Thus, multilevel models are a natural framework for analyzing meta-analytic data. This paper discusses the application of a Fisher scoring method in two- and three-level meta-analysis that takes into account random variation at the second and at the third levels. The usefulness of the model is demonstrated using data that provide information about school calendar types. SAS proc mixed and HLM can be used to compute the estimates of fixed effects and variance components.

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    Bibliographic Info

    Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 5678.

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    Length: 43 pages
    Date of creation: Apr 2011
    Date of revision:
    Publication status: published in: Research Synthesis Methods, 2011, 2 (1), 61- 76
    Handle: RePEc:iza:izadps:dp5678

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    Related research

    Keywords: meta-analysis; multilevel models; random effects;

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    Cited by:
    1. Reid, Allecia E. & Dovidio, John F. & Ballester, Estrellita & Johnson, Blair T., 2014. "HIV prevention interventions to reduce sexual risk for African Americans: The influence of community-level stigma and psychological processes," Social Science & Medicine, Elsevier, Elsevier, vol. 103(C), pages 118-125.

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