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Meta - Analysis: Methods of Accumulating Results Across Research Domains

Larry C. Lyons, Manassas VA


Abstract

This paper describes the Hunter-Schmidt method of conducting a Meta-Analysis. Meta-analysis is a set of statistical procedures designed to accumulate experimental and correlational results across independent studies that address a related set of research questions. The paper gives a brief description of meta-analysis methods based on procedures suggested by Hunter, Schmidt,and Jackson (1982), and Hunter and Schmidt (1990). It also presents the formulas and procedures needed for converting study statistics to a common metric, calculating the sample weighted mean effect sizes r and d, and correcting for range restriction, and sampling and measurement error. Finally step-by-step details on how to conduct a meta-analysis are presented.


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Last revised January 15, 2004 by Larry C. Lyons Manassas, Virginia.
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