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27 - Meta-analysis

from Part IV - Understanding What Your Data Are Telling You About Psychological Processes

Published online by Cambridge University Press:  12 December 2024

Harry T. Reis
Affiliation:
University of Rochester, New York
Tessa West
Affiliation:
New York University
Charles M. Judd
Affiliation:
University of Colorado Boulder
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Summary

Meta-analysis is the quantitative analysis of results of a research literature. Typically, meta-analysis is paired with a systematic review that fully documents the search process, inclusion and exclusion criteria, and study characteristics. A key feature of meta-analysis is the calculation of effect sizes – metric-free indices of study outcome that allow the mathematical combination of effects across studies. The methodological literature on meta-analysis has grown rapidly in recent years, yielding an abundance of resources and sophisticated analytic techniques. These developments are improvements to the field but can also be overwhelming to new aspiring meta-analysts. This chapter therefore aims to demystify some of that complexity, offering conceptual explanations instead of mathematical formulas. We aim to help readers who have not conducted a meta-analysis before to get started, as well as to help those who simply want to be intelligent consumers of published meta-analyses.

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