J. Klayman

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Confirmation, Disconfirmation, and Informa-tion in Hypothesis Testing

J. Klayman, Young-Won Ha, Y. Ha, 1987 .

Hypothesis testing in rule discovery: Strategy, structure, and content.

J. Klayman, Young-Won Ha, 1989 .

J. Klayman, 1995 .

Skilled or unskilled, but still unaware of it: how perceptions of difficulty drive miscalibration in relative comparisons.

Richard P. Larrick, Joshua Klayman, J. Klayman, 2006, Journal of personality and social psychology.

Overconfidence in interval estimates.

Joshua Klayman, Jack B. Soll, J. Klayman, 2004, Journal of experimental psychology. Learning, memory, and cognition.

Information selection and use in hypothesis testing: What is a good question, and what is a good answer?

Louisa M. Slowiaczek, J. Klayman, R. Skov, 1992, Memory & Cognition.

Chapter 4 On the How and Why (not) of Learning from Outcomes

J. Klayman, 1988 .

Cue discovery in probabilistic environments: Uncertainty and experimentation.

J. Klayman, 1988 .

Debias the environment instead of the judge: an alternative approach to reducing error in diagnostic (and other) judgment

Joshua Klayman, Kaye Brown, J. Klayman, 1993, Cognition.

Does ECHO explain explanation? A psychological perspective

R. Hogarth, J. Klayman, 1989, Behavioral and Brain Sciences.

Children's decision strategies and their adaptation to task characteristics

Joshua Klayman, J. Klayman, 1985 .

Thinking about the future: A cognitive perspective

Paul J. H. Schoemaker, Joshua Klayman, J. Klayman, 1993 .

Information Sampling and Adaptive Cognition: Subjective Confidence and the Sampling of Knowledge

Anders Winman, Joshua Klayman, Peter Juslin, 2005 .

Learning from feedback in probabilistic environments

Joshua Klayman, J. Klayman, 1984 .

The future of feedback: Motivating performance improvement through future-focused feedback

Ian O. Williamson, J. Klayman, J. Gnepp, 2020, PloS one.

Judgments of Performance: The Relative, the Absolute, and the In-Between

J. Klayman, Katherine Burson, 2005 .

A hierarchy of information sources for inferring emotional reactions

T. Trabasso, J. Klayman, J. Gnepp, 1982 .

Analysis of Predecisional Information Search Patterns

Joshua Klayman, J. Klayman, 1983 .

Effects of Amount of Information on Judgment Accuracy and Confidence

Reid Hastie, Joshua Klayman, R. Hastie, 2008 .

Cognitive Repairs : How Organizational Practices Can Compensate for Individual Shortcomings

Richard P. Larrick, Joshua Klayman, Chip Heath, 1998 .

Overconfidence: It Depends on How, What, and Whom You Ask.

Jack B. Soll, J. Klayman, Klayman, 1999, Organizational behavior and human decision processes.

Organizational Behavior and Human Decision Processes the Evaluability Hypothesis: an Explanation for Preference Reversals between Joint and Separate Evaluations of Alternatives

Richard P. Larrick, Christopher K. Hsee, G. Loewenstein, 2022 .

Ambivalence in (not about ) naturalistic decision making

Joshua Klayman, J. Klayman, 2001 .

Overconfidence: It Depends on How, What, and Whom You Ask.

Jack B. Soll, J. Klayman, C. González-Vallejo, 1999, Organizational behavior and human decision processes.

Overconfidence in Probability Distributions: People Know They Don’t Know but They Don’t Know What to Do About It

Don A. Moore, Joshua Klayman, Asa B. Palley, 2019, SSRN Electronic Journal.