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Michael Lee

The Bayes Factor
The Bayes Factor
Michael Lee
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In this episode JP and Alex interview Michael Lee. They discuss model complexity and generative models, the differences between cognitive models and machine learning, whether and when preregistration of models is useful, and Michael’s undying love of cricket.

  • Follow us on Twitter: https://twitter.com/TheBayesFactor
  • Follow us on Facebook: https://www.facebook.com/TheBayesFactor/
  • Subscribe & leave us a review on iTunes: https://itunes.apple.com/us/podcast/the-bayes-factor/id1308207723

Notes and links:

  • Follow Michael on twitter: https://twitter.com/mdlBayes
  • The workshop we attended resulted in this special issue on robust modeling in cognitive science: https://link.springer.com/journal/42113/volumes-and-issues/2-3
  • Lee and Vanpaemel on informative priors: https://link.springer.com/article/10.3758/s13423-017-1238-3

Zoltan Dienes

The Bayes Factor
The Bayes Factor
Zoltan Dienes
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In this episode JP and Alex interview Zoltan Dienes. They discuss Zoltan's passion for the martial arts, 
why Bayesian inference could be more Popperian than you might think, 
and the easiest way to start using Bayesian statistics in practice.

- Follow us on Twitter: https://twitter.com/TheBayesFactor
- Follow us on Facebook: https://www.facebook.com/TheBayesFactor/
- Subscribe & leave us a review on iTunes: https://itunes.apple.com/us/podcast/the-bayes-factor/id1308207723

Notes and links:

- Zoltan’s book: https://www.amazon.com/Understanding-Psychology-Science-Introduction-Statistical/dp/023054231X
- Zoltan’s Bayes references and Bayes factor calculator: http://www.lifesci.sussex.ac.uk/home/Zoltan_Dienes/inference/Bayes.htm
- Four reasons to prefer Bayesian over significance testing: https://link.springer.com/article/10.3758/s13423-017-1266-z

JP and Alex 2.0

The Bayes Factor
The Bayes Factor
JP and Alex 2.0







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In this episode JP and Alex catch up with each other and talk about how they like podcasting so far, Alex’s experience doing a joint MS/Phd in stats and cognitive science, JP’s new paper responding to the p<.005 debate, and their future plans for the podcast.

  • Follow us on Twitter: https://twitter.com/TheBayesFactor
  • Follow us on Facebook: https://www.facebook.com/TheBayesFactor/
  • Subscribe & leave us a review on iTunes: https://itunes.apple.com/us/podcast/the-bayes-factor/id1308207723

Notes and links:

  • JP’s entry into the .005 debate: https://link.springer.com/article/10.3758/s13423-018-1523-9 (preprint: https://psyarxiv.com/rbm8y)
  • Notes on Kullback-Leibler divergence: https://psyarxiv.com/5vhzu/

Rolf Zwaan and Rich Lucas

The Bayes Factor
The Bayes Factor
Rolf Zwaan and Rich Lucas







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In this eighth episode Alex interviews Rolf Zwaan and Rich Lucas during the 2017 SIPS meeting. Rolf Zwaan is professor of Biological and Cognitive Psychology at the Institute of Psychology of Erasmus University Rotterdam. Rich Lucas is professor of Psychology at Michigan State University. They discuss the importance of replication for psychological research, how they incorporate ideas from the psychology reform movement in their own research, and the various perceptions people have of psychology’s reformers.

Notes and links:

Liz Page-Gould and Alex Danvers

The Bayes Factor
The Bayes Factor
Liz Page-Gould and Alex Danvers







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In this seventh episode Alex interviews Liz Page-Gould and Alex Danvers during the 2017 SIPS meeting. They discuss the value in learning the scripting language R, their perspectives on teaching statistics at the undergraduate and graduate level, and the value of model comparison tools such as the Bayes factor for evaluating psychological theories.

Links:

Michèle Nuijten and John Sakaluk

The Bayes Factor
The Bayes Factor
Michèle Nuijten and John Sakaluk







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In this sixth episode Alex interviews two early career psychological researchers, Michèle Nuijten and John Sakaluk. Michèle is an assistant professor in the department of methodology and statistics at Tilburg University, and John is an assistant professor in the department of psychology at the University of Victoria. They discuss their experiences organizing and attending the SIPS meetings, the ways they practice the open science they preach, and how they teach research methods in the current reproducibility climate.

Links:

  1. Michèle’s website: https://mbnuijten.com/
    John’s website: https://marssresearch.wordpress.com/
    SIPS: https://improvingpsych.org/
    Methodology modules: https://osf.io/zbwr4/wiki/home/
    statcheck: http://statcheck.io/
    the crep project: https://osf.io/wfc6u/wiki/home/

Don van Ravenzwaaij

The Bayes Factor
The Bayes Factor
Don van Ravenzwaaij







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In this fifth episode, Alex and JP interview Don van Ravenzwaaij. They discuss Don’s experience teaching undergraduate students about current statistical controversies, the FDA’s “two significant p-values” policy, and JP and Don debate the merits of the p<.005 proposal.

Links:

Dan Simons and Steve Lindsay

The Bayes Factor
The Bayes Factor
Dan Simons and Steve Lindsay







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In this fourth episode Alex interviews two prominent journal editors in psychology, Dan Simons and Steve Lindsay. Dan is professor of Psychology at the university of Illinois and chief editor of Advances in Methods and Practices in psychological science. Steve is professor of psychology at university of Victoria and chief editor at Psychological Science. They discuss their academic histories, the reproducibility crisis from the perspective of journal editors, and their optimism about new initiatives to reform psychological science.

Links:

Julia Rohrer and Anne Scheel

The Bayes Factor
The Bayes Factor
Julia Rohrer and Anne Scheel







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In this third episode, Alex interviews two PhD students, Julia Rohrer and Anne Scheel. They discuss their experiences in the science reform movement, how cultural differences can shape reactions to reform efforts, and the controversy surrounding their group blog.

Links:

Eric-Jan Wagenmakers

The Bayes Factor
The Bayes Factor
Eric-Jan Wagenmakers







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Episode 2: show notes

In this second episode, Alex and JP interview Eric-Jan (E.-J.) Wagenmakers. Among other things, they discuss how E.-J. got into Bayesian statistics, chess addiction, and the P < .005 controversy.

Links: