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Meta-analysis in Sociological Research: Power and Heterogeneity

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  • Guangyu Tong
  • Guang Guo

Abstract

Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study heterogeneity. This article provides a review of the core methodologies of meta-analysis that we consider most relevant to sociological research. After developing the foundation of the fixed- and random-effects models of meta-analysis models, this article illustrates the utility of the method with regression coefficients reported from two sets of social science studies. We explain the various steps of the process including constructing the meta-sample from primary studies, estimating the fixed- and random-effects models, analyzing the source of heterogeneity across studies, and assessing publication bias. We conclude with a discussion of steps that could be taken to strengthen the development of meta-analysis in sociological research, which will eventually increase the credibility of sociological inquiry via a knowledge-cumulative process.

Suggested Citation

  • Guangyu Tong & Guang Guo, 2022. "Meta-analysis in Sociological Research: Power and Heterogeneity," Sociological Methods & Research, , vol. 51(2), pages 566-604, May.
  • Handle: RePEc:sae:somere:v:51:y:2022:i:2:p:566-604
    DOI: 10.1177/0049124119882479
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    1. Stephen Benard & Shelley Correll & In Paik, 2007. "Getting a job: Is there a motherhood penalty?," Natural Field Experiments 00227, The Field Experiments Website.
    2. Oleg Poldin & Diliara Valeeva & Maria Yudkevich, 2016. "Which Peers Matter: How Social Ties Affect Peer-group Effects," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(4), pages 448-468, June.
    3. Bruce Sacerdote, 2014. "Experimental and Quasi-Experimental Analysis of Peer Effects: Two Steps Forward?," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 253-272, August.
    4. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    5. Glenn Firebaugh, 2008. "The First Rule, from Seven Rules for Social Research," Introductory Chapters, in: Seven Rules for Social Research, Princeton University Press.
    6. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    7. Chris Doucouliagos & T.D. Stanley, 2013. "Are All Economic Facts Greatly Exaggerated? Theory Competition And Selectivity," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 316-339, April.
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    1. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).

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