K
Kathleen M. Whitcomb
Researcher at University of South Carolina
Publications - 9
Citations - 362
Kathleen M. Whitcomb is an academic researcher from University of South Carolina. The author has contributed to research in topics: Odds & Imprecise probability. The author has an hindex of 5, co-authored 9 publications receiving 354 citations.
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The Relationship of Information System Training Methods and Cognitive Ability to End-User Satisfaction, Comprehension, and Skill Transfer: A Longitudinal Field Study
TL;DR: In this article, the authors compared traditional and nontraditional training techniques with regard to computer related training and found that the use of hands-on training methods, especially behavior modeling, resulted in superior retention of knowledge, transfer of learning, and end-user satisfaction.
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Probability Judgment Accuracy for General Knowledge: Cross-National Differences and Assessment Methods
TL;DR: The authors compare the probability judgment accuracy of subjects from the United States and Turkey using three different response modes: numerical probabilities, pie diagrams, and odds, and find that Turkish subjects exhibited better discrimination but worse calibration than their US counterparts.
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Probability judgment accuracy for general knowledge. Cross‐national differences and assessment methods
TL;DR: The authors compare the probability judgment accuracy of subjects from the United States and Turkey using three different response modes (numerical probabilities, pie diagrams, and odds) and find that Turkish subjects exhibited better discrimination but worse calibration than their US counterparts.
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Quasi-Bayesian Analysis Using Imprecise Probability Assessments And The Generalized Bayes’ Rule
TL;DR: In this article, the generalized Bayes' rule (GBR) is used to derive coherent imprecise probability models when the event space consists of a finite set of mutually exclusive and exhaustive events.
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An evaluation of the reliability of probability judgments across response modes and over time
TL;DR: The authors investigated the reliability of probability measures derived from three response modes: numerical probabilities, pie diagrams, and odds, and found that subjects assessed probabilities reliably for all three assessment methods regardless of the reliability measures employed.