John K. Kruschke

Indiana University, Bloomington, Bloomington, IN, United States 
attention in learning, connectionist models, bayesian statistics
"John Kruschke"
Cross-listing: Neurotree


Sign in to add mentor
Stephen E. Palmer grad student 1984-1990 UC Berkeley (Neurotree)


Sign in to add trainee
Emily S. Kappenman research assistant UC Davis (Neurotree)
Ronaldo Vigo grad student Indiana University (Neurotree)
Michael A. Erickson grad student 1999 Indiana University (Neurotree)
Teresa A. Treat grad student 2000 Indiana University (Neurotree)
Nathaniel J. Blair grad student 2001 Indiana University (Neurotree)
Mark K. Johansen grad student 2002 Indiana University (Neurotree)
Stephen E. Denton grad student 2009 Indiana University (Neurotree)
Richard A. Hullinger grad student 2011 Indiana University (Neurotree)
Michael L. Kalish post-doc 1993-1995 Indiana University (Neurotree)


Sign in to add collaborator
Anthony  J. Bishara collaborator (Neurotree)
David N. George collaborator Indiana University (Neurotree)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Celestin BD, Kruschke JK. (2019) Lay evaluations of police and civilian use of force: Action severity scales. Law and Human Behavior. 43: 290-305
Vandekerckhove J, Rouder JN, Kruschke JK. (2018) Editorial: Bayesian methods for advancing psychological science. Psychonomic Bulletin & Review
Kruschke JK, Liddell TM. (2017) Bayesian data analysis for newcomers. Psychonomic Bulletin & Review
Kruschke JK, Liddell TM. (2017) The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychonomic Bulletin & Review
Yoshida K, de Jong KJ, Kruschke JK, et al. (2015) Cross-language similarity and difference in quantity categorization of Finnish and Japanese Journal of Phonetics. 50: 81-98
Hullinger RA, Kruschke JK, Todd PM. (2014) An Evolutionary Analysis of Learned Attention. Cognitive Science
Ahn WY, Vasilev G, Lee SH, et al. (2014) Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users. Frontiers in Psychology. 5: 849
Kruschke JK, Aguinis H, Joo H. (2014) Corrigendum to The time has come: Bayesian methods for data analysis in the organizational sciences (Organizational Research Methods, 15, 4, (722-752), 10.1177/1094428112457829) Organizational Research Methods. 17: 107
Liddell TM, Kruschke JK. (2014) Ostracism and fines in a public goods game with accidental contributions: The importance of punishment type Judgment and Decision Making. 9: 523-547
Kruschke JK. (2013) Posterior predictive checks can and should be Bayesian: comment on Gelman and Shalizi, 'Philosophy and the practice of Bayesian statistics'. The British Journal of Mathematical and Statistical Psychology. 66: 45-56
See more...