Date of this Version


Document Type

Journal Article

Publication Details

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.
This article may not exactly replicate the final version published in the APA journal. It is not the copy of record.
Access publisher version via the APA Journal home page.

Copyright 2002 by the American Psychological Association, Inc.


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.


To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.