John K. Kruschke
Psychology · Indiana University
Publications
183
Citations
17,232
Est. group size
—
Recurring co-author estimate
Active years
38
Publishing since 1989
John K. Kruschke conducts research in psychology, focusing on how people and animals learn to form categories and associations, and on statistical methods for analyzing psychological data. A major strand of his work develops and promotes Bayesian statistics (a framework for reasoning about uncertainty and updating beliefs from data) and computational models of learning and attention. He also studies applied topics such as how people judge use of force and how uncertainty is communicated visually.
Publication output has slowed over the last decade, declining from about ten papers per year in 2017 to an average of under two per year in the most recent five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Differences of Opinions: How Visualizations of Uncertainty in Ratings Data Affect Choice
OSF Preprints (OSF Preprints) · 2026
- Reactance to Persuasive Messages Depends on Felt Obligation
Communication Research · 2024
- An Intervention for Increasing Intention to Post Online Customer Reviews
Journal of Interactive Marketing · 2024
- Toward a Unifying Connectionist Model of Attention in Human and Animal Associative Learning
2022
- Retrospective Revaluation in human Associative Learning:New Data and Implications for Models of Learning
2022
- An Attentionally-Based Connectionist Model of Overshadowing and Cue-Competition in Human Learning
2022
- Bayesian Analysis Reporting Guidelines
Nature Human Behaviour · 2021
- Uncertainty of prior and posterior model probability: Implications for interpreting Bayes factors
2021
- ALCOVE: An exemplar-based connectionist model of category learning
Psychology Press eBooks · 2020
- Lay evaluations of police and civilian use of force: Action severity scales.
Law and Human Behavior · 2019
- Learning of rules that have high-frequency exceptions: New empirical data and a hybrid connectionist model
2019
- Describing U-shaped trend with a two-quadratic model
OSF Preprints (OSF Preprints) · 2019
- Neophilic behavior in wild raccoons (Procyon lotor) and other woodland species
OSF Preprints (OSF Preprints) · 2019
- Rejecting or Accepting Parameter Values in Bayesian Estimation
Advances in Methods and Practices in Psychological Science · 2018
- Analyzing ordinal data with metric models: What could possibly go wrong?
Journal of Experimental Social Psychology · 2018
- OSF Preprints (OSF Preprints)×6
- Psychonomic Bulletin & Review×3
- Advances in Methods and Practices in Psychological Science×1
- Journal of Experimental Social Psychology×1
- Nature Human Behaviour×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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