Date of this Version
1-1-2002
Document Type
Journal Article
Abstract
This theoretical note describes an expansion of the behavioral prediction equation, in line with the greater complexity encountered in models of structured learning theory (R. B. Cattell, 1996a). This presents learning theory with a vector substitute for the simpler scalar quantities by which traditional Pavlovian-Skinnerian models have hitherto been represented. Structured learning can be demonstrated by vector changes across a range of intrapersonal psychological variables (ability, personality, motivation, and state constructs). Its use with motivational dynamic trait measures (R. B. Cattell, 1985) should reveal new theoretical possibilities for scientifically monitoring change processes (dynamic calculus model; R. B. Cattell, 1996b), such as encountered within psychotherapeutic settings ( R. B. Cattell, 1987). The enhanced behavioral prediction equation suggests that static conceptualizations of personality structure such as the Big Five model are less than optimal.
This document has been peer reviewed.
Publication Details
Postprint:
Cattell, R. B., Boyle, G. J., & Chant, D. (2002). The enriched behavioral prediction equation and its impact on structured learning and the dynamic calculus. Psychological Review, 109 (1), 202-205.
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Copyright 2002 by the American Psychological Association, Inc.