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Hogarth, Robin M.; Mukherjee, Kanchan; Soyer, Emre – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Additive integration of information is ubiquitous in judgment and has been shown to be effective even when multiplicative rules of probability theory are prescribed. We explore the generality of these findings in the context of estimating probabilities of success in contests. We first define a normative model of these probabilities that takes…
Descriptors: Competition, Information Seeking, Decision Making Skills, Heuristics
Hogarth, Robin M.; Soyer, Emre – Journal of Experimental Psychology: General, 2011
Recently, researchers have investigated differences in decision making based on description and experience. We address the issue of when experience-based judgments of probability are more accurate than are those based on description. If description is well understood ("transparent") and experience is misleading ("wicked"), it…
Descriptors: Foreign Countries, Graduate Students, College Students, Adults
Karelaia, Natalia; Hogarth, Robin M. – Psychological Bulletin, 2008
The mathematical representation of E. Brunswik's (1952) lens model has been used extensively to study human judgment and provides a unique opportunity to conduct a meta-analysis of studies that covers roughly 5 decades. Specifically, the authors analyzed statistics of the "lens model equation" (L. R. Tucker, 1964) associated with 249 different…
Descriptors: Cues, Meta Analysis, Models, Task Analysis

Einhorn, Hillel J.; Hogarth, Robin M. – Psychological Review, 1978
The author examines the structure of judgmental tasks, the extent to which people can observe the outcomes of judgments, and how outcomes are coded and interpreted. (Author/RK)
Descriptors: Decision Making, Feedback, Illustrations, Learning Theories