This article begins with a guiding schema of relations among cognitive science, clinical science, and assessment technology. Emphasis is placed on stochastic modeling of cognitive processes. Basic models are adjusted so as to parsimoniously accommodate performance deviations occurring with psychopathology. Modified portions of models indicate functions affected by disorder, whereas portions remaining intact indicate spared functions. Findings from clinical cognitive science are applied to the individual case using Bayesian procedures. Methods are instantiated with respect to cognitive psychopathology of paranoid schizophrenia. The authors address observations and issues arising from this application, including integration of these methods with current assessment practices.
Variations in cognitive performance across clinical or other populations may stem from one or a combination of sources. Such variation usually comprises systematic differences in duration, correctness of task performance across multiple trials, or both. Factors affecting these response properties may have to do with architecture of the cognitive system executing the
Questionnaires examining the content of undergraduate statistics courses were sent to Canadian post-secondary institutes offering major degrees in psychology. Responses received from 59% of the institutions suggest that several basic statistical procedures constitute a small core content covered in almost all undergraduate statistics courses and that the incorporation of computer applications is relatively common.
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