Joshua Klayman
Joshua Klayman
University of Chicago Booth School of Business + Humanly Possible, Inc.
Verified email at - Homepage
Cited by
Cited by
Confirmation, disconfirmation, and information in hypothesis testing.
J Klayman, YW Ha
Psychological review 94 (2), 211, 1987
Overconfidence: It depends on how, what, and whom you ask
J Klayman, JB Soll, C Gonzalez-Vallejo, S Barlas
Organizational behavior and human decision processes 79 (3), 216-247, 1999
Varieties of confirmation bias
J Klayman
Psychology of learning and motivation 32, 385-418, 1995
Overconfidence in interval estimates.
JB Soll, J Klayman
Journal of Experimental Psychology: Learning, Memory, and Cognition 30 (2), 299, 2004
Skilled or unskilled, but still unaware of it: how perceptions of difficulty drive miscalibration in relative comparisons.
KA Burson, RP Larrick, J Klayman
Journal of personality and social psychology 90 (1), 60, 2006
Hypothesis testing in rule discovery: Strategy, structure, and content.
J Klayman, Y Ha
Journal of Experimental Psychology: Learning, Memory, and Cognition 15 (4), 596, 1989
Effects of amount of information on judgment accuracy and confidence
CI Tsai, J Klayman, R Hastie
Organizational Behavior and Human Decision Processes 107 (2), 97-105, 2008
Children's decision strategies and their adaptation to task characteristics
J Klayman
Organizational Behavior and Human Decision Processes 35 (2), 179-201, 1985
Cognitive repairs: How organizational practices can compensate for individual shortcomings
C Heath, RP Larrick, J Klayman, C Heath, RP Larrick, J Klayman
Review of Organizational Behavior, 1998
On the how and why (not) of learning from outcomes
J Klayman
Advances in psychology 54, 115-162, 1988
Debias the environment instead of the judge: An alternative approach to reducing error in diagnostic (and other) judgment
J Klayman, K Brown
Cognition 49 (1-2), 97-122, 1993
Information selection and use in hypothesis testing: What is a good question, and what is a good answer?
LM Slowiaczek, J Klayman, SJ Sherman, RB Skov
Memory & Cognition 20, 392-405, 1992
Cue discovery in probabilistic environments: Uncertainty and experimentation.
J Klayman
Journal of Experimental Psychology: Learning, Memory, and Cognition 14 (2), 317, 1988
Analysis of predecisional information search patterns
J Klayman
Advances in Psychology 14, 401-414, 1983
A hierarchy of information sources for inferring emotional reactions
J Gnepp, J Klayman, T Trabasso
Journal of Experimental Child Psychology 33 (1), 111-123, 1982
Thinking about the future: A cognitive perspective
J Klayman, PJH Schoemaker
Journal of Forecasting 12 (2), 161-186, 1993
Learning from feedback in probabilistic environments
J Klayman
Acta Psychologica 56 (1-3), 81-92, 1984
Recognition of uncertainty in emotional inferences: Reasoning about emotionally equivocal situations.
J Gnepp, J Klayman
Developmental Psychology 28 (1), 145, 1992
Simulations of six decision strategies: Comparisons of search patterns, processing characteristics, and response to task complexity
J Klayman
Center for Decision Research, Graduate School of Business, University of Chicago, 1982
The future of feedback: Motivating performance improvement through future-focused feedback
J Gnepp, J Klayman, IO Williamson, B Sema
PLOS ONE 15 (6), e0234444, 2020
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