Richard D. Morey

Reader in Psychology

Cardiff University


Richard D. Morey is a Reader in Psychology at Cardiff University. His research interests include statistical inference, philosophy of statistics, and cognitive modelling. He gives frequent talks and workshops on topics ranging from frequentist inference, applied Bayesian analysis, and statistical cognition. He is the author of the BayesFactor software for Bayesian analysis, and a variety of other tools for scientific research and teaching, as well over 60 peer-reviewed articles and book chapters.

Dr. Morey obtained his PhD in Cognition and Neuroscience in 2008 working with Jeffrey Rouder at the University of Missouri, and his Masters degree in Statistics the same year working with Paul Speckman.


  • Statistical inference
  • Applied Bayesian data analysis
  • Statistical computing
  • Philosophy of science/statistics


  • PhD in Cognition and Neuroscience, 2008

    University of Missouri

  • MA in Statistics, 2008

    University of Missouri

  • MA in Cognition and Neuroscience, 2004

    University of Missouri

  • BA in Music, 2001

    The Florida State University





Theory and Application

Cognitive Psychology

Memory and Perception



Senior Lecturer/Reader in Psychology

Cardiff University

Jan 2015 – Present Cardiff, UK

Responsibilities include:

  • Research
  • Teaching and coordination (undergraduate and graduate)
  • Equality and Diversity data analysis lead

Assistant/Associate Professor in Psychometrics and Statistics

Heymans Institute, University of Groningen

Jul 2008 – Dec 2015 Groningen, NL

Responsibilities included:

  • Research
  • Statistical consulting
  • Teaching and coordination (undergraduate and graduate)


Globally highly-cited scientist 2010-2019

Among scientists and social scientists who produced multiple papers ranking in the top 1% by citations for their field and year of publication, demonstrating significant research influence among their peers.

Psychonomic Society Early Career Impact award

Award for high-impact scientific work while an early-career researcher.

Featured Talks

Should we redefine statistical significance?

Arguments for redefining statistical significance to p<.005 are assessed.


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