Cognitive diagnosis models are constrained (multiple classification) latent class models that characterize the relationship of questionnaire responses to a set of dichotomous latent variables. Having emanated from educational measurement, several aspects of such models seem well suited to use in psychological assessment and diagnosis. This article…

This article models the cognitive processes underlying learning and sequential choice in a risk-taking task for the purposes of understanding how they occur in this moderately complex environment and how behavior in it relates to self-reported real-world risk taking. The best stochastic model assumes that participants incorrectly treat outcome…

Describes a computer-based method of confidence-testing, available in batch processing and interactive form, which improves a student's ability to assess probabilities during clinical diagnosis. The methods and results of three experiments are presented. (EAO)

Revealing or visualizing the thinking involved in making clinical decisions is a challenge. A case study is presented with a visual implement for sharing the diagnostic process. This technique adapts the Bayesian approach to the case presentation. Pretest probabilities and likelihood ratios are gathered to obtain post-test probabilities of every…

Development of an inexpensive but powerful computer program to teach clinical periodontal diagnosis using epidemiological principles is described. Using probabilistic thinking, the student is guided from application of raw research data to derivation of likelihood ratios and how they affect clinical decision making. Student response was found to…