Application of stochastic modeling to the assessment of group and individual differences in cognitive functioning.
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.
Neufeld
Richard W J
RW
Department of Psychology, University of Western Ontario, London, Ontario N6A 5C2, Canada. rneufeld@uwo.ca
Vollick
David
D
Carter
Jeffrey R
JR
Boksman
Kristine
K
Jetté
Jennifer
J
D001499:Bayes Theorem; D003072:Cognition Disorders / Q000175:diagnosis* / Q000523:psychology; D006801:Humans; D007206:Individuality; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D011594:Psychometrics; D015203:Reproducibility of Results; D012559:Schizophrenia / Q000175:diagnosis*; D012565:Schizophrenic Psychology; D013269:Stochastic Processes