Michael L. Kalish

Syracuse University — United States

Psychology · Social Sciences

34h-index6.1kcitations115works1.02yr avg
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Research Topics

Child and Animal Learning Development(25), Language and cultural evolution(19), HIV Research and Treatment(13), Bayesian Modeling and Causal Inference(13), Cognitive Science and Education Research(10)

Publications115 total

Towards a Unified Model Describing Multiple Tasks: Extending the Retrieving Effectively from Memory Model to Categorization
2025Open Access
Discourse on measurement
Proceedings of the National Academy of Sciences·2025· 2 citedOpen Access
Bayes Factors for Mixed Models: a Discussion
Computational Brain & Behavior·2023· 5 citedOpen Access
Bayes Factors for Mixed Models: A Discussion
2022· 1 citedOpen Access
Statistics in the Service of Science: Don’t Let the Tail Wag the Dog
Computational Brain & Behavior·2022· 28 citedOpen Access
Statistics in the Service of Science: Don't let the Tail Wag the Dog
2021· 18 citedOpen Access
The Problem of Coordination and the Pursuit of Structural Constraints in Psychology
Perspectives on Psychological Science·2021· 49 cited
The Problem of Coordination and the Pursuit of Structural Constraints in Psychology
2020· 14 cited
A test of two processes: The effect of training on deductive and inductive reasoning
Cognition·2020· 27 citedOpen Access
A test of two processes: The effect of training on deductive and inductive reasoning
2020· 3 citedOpen Access
Adaptive learning of Gaussian categories leads to decision bounds and response surfaces incompatible with optimal decision making
2019
Special issue on state-trace analysis
Journal of Mathematical Psychology·2019· 1 citedOpen Access
Dial <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e753" altimg="si7.gif"> <mml:mover accent="true"> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>ˆ</mml:mo> </mml:mrow> </mml:mover> </mml:math> for monotonic: A kernel-based Bayesian approach to state-trace analysis
Journal of Mathematical Psychology·2019· 3 cited
Journal of Mathematical Psychology: Special issue on state-trace analysis
Figshare·2019Open Access
Dial M for Monotonic: A Kernel-Based Bayesian Approach to State-Trace Analysis
2018· 1 citedOpen Access
The effect of feedback delay on perceptual category learning and item memory: Further limits of multiple systems.
Journal of Experimental Psychology Learning Memory and Cognition·2018· 8 citedOpen Access
Functional Dissociation
Computational approaches to cognition and perception·2018
Mixed Designs with Continuous Dependent Variables
Computational approaches to cognition and perception·2018
State-Trace Analysis
Computational approaches to cognition and perception·2018· 21 cited
Statistical Methodology
Computational approaches to cognition and perception·2018· 10 cited
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Frequent Co-authors

Thomas L. Griffiths(14), Stephan Lewandowsky(12), John C. Dunn(12), Ben R. Newell(7), Danuta Pieniążek(4), Joseph Jay Williams(3), William H. Warren(3), Bruce G. Weniger(3), John K. Kruschke(3), Feng Gao(3), David Kellen(3), Clintin P. Davis‐Stober(3), Clement Zeh(3), Kenneth E. Robbins(3), Christopher G. Lucas(2), Michael W. Morris(2), C Y Ou(2), Gerald Schochetman(2), Chou‐Pong Pau(2), Elaine J. Abrams(2)