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Complementing preregistered confirmatory analyses with rigorous, reproducible exploration using machine learning

17 citations0/0 files storedReligion Brain & Behavior

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Religion, Spirituality, and Psychology Statistical Methods and Bayesian Inference Computational and Text Analysis Methods

Abstract

The Many-Analysts Religion Project illustrates how researcher degrees of freedom cause one research question to be analyzed in many different ways (Hoogeveen et al., 2022). Each submission showcase...

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References

2016Degrees of Freedom in Planning, Running, Analyzing, and Reporting Psychological Studies: A Checklist to Avoid p-Hacking 2022A many-analysts approach to the relation between religiosity and well-being 2016Theory-guided exploration with structural equation model forests.2021WORCS: A workflow for open reproducible code in science 2021Reproducible Research in R: A Tutorial on How to Do the Same Thing More Than Once

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2022Many-analysts religion project: reflection and conclusion

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