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A many-analysts approach to the relation between religiosity and well-being

Journal Article (2022)
Author(s)

Suzanne Hoogeveen (Universiteit van Amsterdam)

Alexandra Sarafoglou (Universiteit van Amsterdam)

AC Balazs (Eötvös Loránd University)

Yonathan Aditya (Universitas Pelita Harapan, )

Alexandra J. Alayan (Colorado State University)

Peter J. Allen (University of Bristol)

Sacha Altay (Institut Jean Nicod, Paris)

T.A. Draws (TU Delft - Web Information Systems)

N. Roy (TU Delft - Web Information Systems)

More Authors (External organisation)

Research Group
Web Information Systems
Copyright
© 2022 Suzanne Hoogeveen, Alexandra Sarafoglou, AC Balazs, Yonathan Aditya, Alexandra J. Alayan, Peter J. Allen, Sacha Altay, T.A. Draws, N. Roy, More Authors
DOI related publication
https://doi.org/10.1080/2153599X.2022.2070255
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Suzanne Hoogeveen, Alexandra Sarafoglou, AC Balazs, Yonathan Aditya, Alexandra J. Alayan, Peter J. Allen, Sacha Altay, T.A. Draws, N. Roy, More Authors
Research Group
Web Information Systems
Issue number
3
Volume number
13 (2023)
Pages (from-to)
237-283
Reuse Rights

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Abstract

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset ((Formula presented.) participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported (Formula presented.)). For the second research question, this was the case for 65% of the teams (median reported (Formula presented.)). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates.