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Bayesian Statistics in Sociology: Past, Present, and Future

DSEID
DSEID-001-0351566
DOI
10.1146/annurev-soc-073018-022457
Journal
Annual Review of Sociology
Publisher
Annual Reviews
Published
2019-7-30
Status
metadata_only

Abstract

Although Bayes’ theorem has been around for more than 250 years, widespread application of the Bayesian approach only began in statistics in 1990. By 2000, Bayesian statistics had made considerable headway into social science, but even now its direct use is rare in articles in top sociology journals, perhaps because of a lack of knowledge about the topic. In this review, we provide an overview of the key ideas and terminology of Bayesian statistics, and we discuss articles in the top journals that have used or developed Bayesian methods over the last decade. In this process, we elucidate some of the advantages of the Bayesian approach. We highlight that many sociologists are, in fact, using Bayesian methods, even if they do not realize it, because techniques deployed by popular software packages often involve Bayesian logic and/or computation. Finally, we conclude by briefly discussing the future of Bayesian statistics in sociology.

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Metadata

Title
Bayesian Statistics in Sociology: Past, Present, and Future
Delta ID
DSEID-001-0351566
Authors
Scott M. Lynch, Bryce Bartlett
Abstract source
crossref
Source URL
None
Access
closed_or_uncertain
Licence
unknown
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TEI SHA-256
GROBID

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Record history

WhenEventFieldOldNew
2026-06-18 19:37:53.011249+00:00identifier_assignedDSEIDDSEID-001-0351566