John Kruschke

John Kruschke

Professor, Psychological And Brain Sciences

Adjunct Professor, Statistics


  • Ph.D., University of California, Berkeley, 1990

Research interests

Bayesian data analysis and psychology of moral judgment

Professional Experience

  • Current or past membership on editorial boards of Psychonomic Bulletin & Review, Cognitive Science, Journal of Experimental Psychology: General, Journal of Experimental Psychology: Learning, Memory & Cognition
  • Chair, Fourteenth Annual Conference of the Cognitive Science Society, 1992
  • Indiana University Trustees Teaching Excellence Recognition Awards, 1997, 1998, 1999


  • NIMH FIRST Award, 1994-1999
  • National Academy of Science Troland Award, 2002

Representative publications

ALCOVE: An exemplar-based connectionist model of category learning.(1992)
John K Kruschke
Psychological review, 99 (1), 22

Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan.(2015)
John Kruschke
Academic Press.

Doing Bayesian data analysis, Second edition: A tutorial with R, JAGS, and Stan.(2014)
John Kruschke
Academic Press.

Doing Bayesian data analysis: A tutorial with R and BUGS.(2010)
John K. Kruschke
Academic Press.

Rules and exemplars in category learning.(1998)
Michael A Erickson and John K Kruschke
Journal of Experimental Psychology: General, 127 (2), 107

Bayesian estimation supersedes the t test.(2013)
John K Kruschke
Journal of Experimental Psychology: General, 142 (2), 573-603

Combining exemplar-based category representations and connectionist learning rules.(1992)
Robert M Nosofsky, John K Kruschke and Stephen C McKinley
Journal of Experimental Psychology: Learning, Memory, and Cognition, 18 (2), 211

Toward a unified model of attention in associative learning.(2001)
John K Kruschke
Journal of mathematical psychology, 45 (6), 812-863

A model of probabilistic category learning.(1999)
John K Kruschke and Mark K Johansen
Journal of Experimental Psychology: Learning, Memory, and Cognition, 25 (5), 1083

Bayesian assessment of null values via parameter estimation and model comparison.(2011)
John K Kruschke
Perspectives on Psychological Science, 6 (3), 299

What to believe: Bayesian methods for data analysis.(2010)
John K Kruschke
Trends in cognitive sciences, 14 (7), 293-300

The time has come: Bayesian methods for data analysis in the organizational sciences.(2012)
John K Kruschke, Herman Aguinis and Harry Joo
Organizational Research Methods, 15 (4), 722-752

Blocking and backward blocking involve learned inattention.(2000)
John K Kruschke and Nathaniel J Blair
Psychonomic Bulletin & Review, 7 (4), 636-645

Base rates in category learning.(1996)
John K Kruschke
Journal of Experimental Psychology: Learning, Memory, and Cognition, 22 (1), 3

The Bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective.(2016)
John K Kruschke and Torrin M Liddell
Psychonomic Bulletin & Review,

Dissertation Committee Service

Author Dissertation Title Committee
Alexander, Will A Real-Time Model of Attention (September 2006) Sporns, O. (Chair), Goldstone, R., Kruschke, J., Yaeger, L.
Bergert, Franklin Bryan Using Response Time to Distinguish Between Lexicographic and Linear Models of Decision Making (January 2008) Nosofsky, R. (Chair), Kruschke, J., Todd, P., Townsend, J.
Carroll, Christine Temporal Processing in Schizophrenia: An Integrative Study of Behavioral Judgment, Motor Execution, and Quantitative Modeling (December 2007) Kruschke, K., O’Donnell, B., Sporns, O. (Co-Chair), Townsend, J., Hetrick, W (Co-Chair)
Denton, Stephen Exploring Active Learning in a Bayesian Framework (September 2009) Kruschke, J. (Co-Chair), Busemeyer, J. (Co-Chair), Jones, M., Todd, P.
Diller, D. E. The Effects of Attentional Focus on Visual Information Processing (October 1999) Shiffrin, R. (Co-Chair), Kruschke, J. (Co-Chair), Busey, T. A., Leake, D. B.
Dimperio, Eric A Dynamic Model of Planning Behaviors in Multi-Stage Risky Decision Tasks (August 2009) Busemeyer, J., Goldstone, R., Kruschke, J., Scheutz, M.
Erickson, M. A. Rules and Exemplar Representation in Category Learning (June 1999) Kruschke, J. (Co-Chair), Shiffrin, R. (Co-Chair), Gasser, M., Port, R. F., Nosofsky, R. N.
Houpt, Joseph Statistical Measures for the Double Factorial Paradigm (April 2012) Townsend, J. (Co-chair), Busemeyer, J., Kruschke, J. (Co-chair), Huang, C.
Hullinger, Richard An Evolutionary Analysis of Selective Attention (August 2011) Kruschke, J. (Co-Chair), Sporns, O., Todd, P. (Co-Chair), Yaeger, L.
Kachergis, George Earle Mechanisms for Cross-Situational Learning of Word-Referent Mappings: Empirical and Modeling Evidence (December 2012) Shiffrin, R. (Co-Chair), Yu, C. (Co-Chair), Goldstone, R., Jones, M., Kruschke, J.
Kieffaber, Paul Components of Attentional Control in Schizophrenia (June 2006) Hetrick, W. (Co-Chair), O’Donnell, B., Kruschke, J. (Co-Chair), Sporns, O., Townsend, J.
Nobel, P. A. Response Times in Recognition and Recall (April 1996) Shiffrin, R. (Chair), Kruschke, J. K., Nosofsky, R. M., Port, R. F.
Shoup, R. E. Cross-Dimensional Interference in a Focused Attention Task (October 1996) Shiffrin, R. (Co-Chair), Kruschke, J. (Co-Chair), Busey, T., Bradley, A., Cohen, A.
Stanton, Roger Dissociations of Classification: Evidence against the Multiple Learning-Systems Hypothesis (August 2007) Nosofsky, R. (Chair), Goldstone, R., James, T., Kruschke, J.
Treat, T. A. Role of Cognitive Processing of Body-Size and Affect Stimulus Information in Bulimia (October 2000) McFall, R. M. (Chair), Viken, R. J., Nosofsky, R. M., Kruschke, J. K., Mackay, D. B.
Trueblood, Jennifer An Investigation of Context Effects in Multi-Alternative Choice Behavior Through Experimentation and Cognitive Modeling (June 2012) Busemeyer, J. (Chair), Kruschke, J., Shiffrin, R., Townsend, J.
Vigo, Ronaldo Mathematical Principles of Boolean Concept Learning (May 2008) Allen, C. (Co-Chair), Kruschke, J. (Co-Chair), Goldstone, R., Nosofsky, R., Townsend, J.