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Help newbies to ‘release their inner Bayesian’ - what are your favourite gentle introductions?

Hi all - I have looked through the previous threads and don’t think this has been asked here before. I teach frequent ist stats to psychology undergraduates. I’ve transitioned from SPSS to jamovi and want to also make links into Bayesian thinking using JASP. It is a difficult transition for students to make - I’d be really interested in anybody’s suggestions for very (very) simple introductions to Bayes that would be good for frequentist trained psychology undergraduates. The recent Wagenmakers et al double bill in Psychon Bull Rev are great examples of the sorts of gentle introductions I’m thinking of - any suggestions would be GREATLY appreciated

Comments

  • I recommend the following two:
    1. Etz, A., Gronau, Q., Dablander, F., Edelsbrunner, P., Baribault, B. (in press). How to become a Bayesian in eight easy steps: An annotated reading list. For the Bayesian Statistics special issue in Psychonomic Bulletin and Review. https://osf.io/preprints/psyarxiv/ph6sw/
    2. Etz, A., & Vandekerckhove, J. (in press). Introduction to Bayesian inference for psychology. For the Bayesian Statistics special issue in Psychonomic Bulletin and Review. https://psyarxiv.com/q46q3

  • Thank you VERY much!

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