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Meta-analysis in Sociological Research

Power and Heterogeneity

Bibliographic Data

ID2331004
AuthorsG Tong (0000-0002-7697-5029, Duke University, corresponding author), G Guo (0000-0001-6446-9017, University of North Carolina at Chapel Hill)
Year2022
Volume51
Issue2
Pages566-604
Publication date2022-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSociological Methods & Research (JOURNAL)
Journal identifiersISSN: 0049-1241 • E-ISSN: 1552-8294
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0049124119882479
PMID35754525
OpenAlexW2990917978
LanguageEN
Citations received11
References cited83

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

Credibility · Data science · Econometrics · Economics · Epistemology · Leverage (statistics) · Machine learning · Management science · Meta-analysis · Random effects model · Sociology · Computer Science · Mathematics · Mental Health Research Topics · Psychological Well-being and Life Satisfaction · Psychometric Methodologies and Testing

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Unique citing works11
Citations per year1,83
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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