Online Stats Training
Published December 2, 2020 | Version v1
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Tutorial: Advanced Bayesian regression in jamovi

Authors/Creators

  • 1. Utrecht University

Description

This tutorial explains how to interpret the more advanced output and to set different prior specifications in conducting Bayesian regression analyses in jamovi (The jamovi project, 2020). We guide you to various options in the options panel and introduce concepts including Bayesian model averaging, prior model probability, posterior model probability, inclusion Bayes factor, and posterior exclusion probability. After the tutorial, we expect readers can deeply understand the Bayesian regression and perform it to answer substantive research questions.

For readers who need the basics of jamovi, we suggest following jamovi for beginners. For readers who want to learn the nuts and bolts of Bayesian analyses in jamovi, we recommend reading jamovi for Bayesian analyses with default priors. The current tutorial assumes that readers are prepared for backgrounds to dive into advanced Bayesian regression analysis.

Notes

Since we continuously improve the tutorials, let us know via Github (https://github.com/Rensvandeschoot/Tutorials) if you discover mistakes, or if you have additional resources we can refer to.

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Additional details

Related works

Cites
Lesson: 10.5281/zenodo.4008373 (DOI)
Lesson: 10.5281/zenodo.4117882 (DOI)
References
Dataset: 10.5281/zenodo.3999424 (DOI)

References

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  • Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E. J. (2020). A conceptual introduction to Bayesian model averaging. Advances in Methods and Practices in Psychological Science, 3(2), 200-215. https://doi.org/10.1177/2515245919898657
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  • The jamovi project. (2020). jamovi (Version 1.2.27)[Computer software].
  • Van de Schoot, R. (2020). PhD-delay Dataset for Online Stats Training [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3999424
  • Van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf, J. B., Neyer, F. J., & Van Aken, M. A. (2014). A gentle introduction to Bayesian analysis: Applications to developmental research. Child development, 85(3), 842-860. https://doi.org/10.1111/cdev.12169
  • Van de Schoot, R., Yerkes, M. A., Mouw, J. M., & Sonneveld, H. (2013). What took them so long? Explaining PhD delays among doctoral candidates. PloS one, 8(7), e68839. https://doi.org/10.1371/journal.pone.0068839
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