Bayes factor testing of equality and order constraints on measures of association in social research Article Swipe
Joris Mulder
,
John Gelissen
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1080/02664763.2021.1992360
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1080/02664763.2021.1992360
Measures of association play a central role in the social sciences to quantify the strength of a linear relationship between the variables of interest. In many applications researchers can translate scientific expectations to hypotheses with equality and/or order constraints on these measures of association. In this paper a Bayes factor test is proposed for testing multiple hypotheses with constraints on the measures of association between ordinal and/or continuous variables, possibly after correcting for certain covariates. This test can be used to obtain a direct answer to the research question how much evidence there is in the data for a social science theory relative to competing theories. The accompanying software package `BCT' allows users to apply the methodology in an easy manner. An empirical application from leisure studies about the associations between life, leisure and relationship satisfaction and an application about the differences about egalitarian justice beliefs across countries are used to illustrate the methodology.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1080/02664763.2021.1992360
- https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1992360?needAccess=true
- OA Status
- bronze
- Cited By
- 3
- References
- 72
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2883367606
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2883367606Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/02664763.2021.1992360Digital Object Identifier
- Title
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Bayes factor testing of equality and order constraints on measures of association in social researchWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-10-27Full publication date if available
- Authors
-
Joris Mulder, John GelissenList of authors in order
- Landing page
-
https://doi.org/10.1080/02664763.2021.1992360Publisher landing page
- PDF URL
-
https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1992360?needAccess=trueDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1992360?needAccess=trueDirect OA link when available
- Concepts
-
Bayes' theorem, Association (psychology), Bayes factor, Covariate, Ordinal data, Test (biology), Econometrics, Psychology, Order (exchange), Social psychology, Computer science, Mathematics, Bayesian probability, Economics, Artificial intelligence, Finance, Paleontology, Psychotherapist, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2021: 1, 2020: 2Per-year citation counts (last 5 years)
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72Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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