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Measuring Individual Differences in Content via Changing Person–Context Interaction

Published online by Cambridge University Press:  07 January 2015

Jeffrey B. Vancouver
Jeffrey B. Vancouver*
Affiliation:
Ohio University
*
E-mail: [email protected], Address: Department of Psychology, Ohio University, Athens, OH 45701
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 2 , Issue 1 , March 2009 , pp. 109 - 111
Copyright
Copyright © Society for Industrial and Organizational Psychology 2009 

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Footnotes

*

Department of Psychology, Ohio University.

References

Busemeyer, J. R., & Stout, J. C. (2002). A contribution of cognitive decision models to clinical assessment: Decomposing performance on the Bechara gambling task. Psychological Assessment, 14, 253–262.Google Scholar
Cronbach, L. J. (1957). The two disciplines of scientific psychology. American Psychologist, 12, 671–684.Google Scholar
Dalal, R. S., & Hulin, C. L. (2008). Motivation for what? A multivariate dynamic perspective of the criterion. In Kanfer, R., Chen, G., & Pritchard, R. D. (Eds.), Work motivation: Past, present, and future (pp. 63–101). New York: Routledge.Google Scholar
Diefendorff, J. M., & Lord, R. G. (2008). Goal-striving and self-regulation processes. In Kanfer, R., Chen, G., & Pritchard, R. D. (Eds.), Work Motivation: Past, present, and future (pp. 151–196). New York: Routledge.Google Scholar
Fried, Y., & Slowik, L. H. (2004). Enriching goal-setting theory with time: An integrated approach. Academy of Management Review, 29, 404–422.Google Scholar
Ilgen, D. R., & Hulin, C. L. (Eds.). (2000). Computational modeling of behavior in organizations. Washington, DC: APA.Google Scholar
Kanfer, R. (2009). Work motivation: Identifying use-inspired research directions. Industrial and Organizational Psychology: Perspectives on Science and Practice, 2, 77–93.Google Scholar
Klein, H. J., Austin, J. T., & Cooper, J. T. (2008). Goal choice and decision processes. In Kanfer, R., Chen, G., & Pritchard, R. D. (Eds.), Work motivation: Past, present, and future (pp. 101–151). New York: Routledge.Google Scholar
Mischel, W., & Shoda, Y. (1995). A cognitive-affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102, 246–268.Google Scholar
Mitchell, T. R., & James, L. R. (2001). Building better theory: Time and the specification of when things happen. Academy of Management Review, 26, 530–547.10.2307/3560240Google Scholar
Steel, P., & König, C. J. (2006). Integrating theories of motivation. Academy of Management Review, 31, 889–913.10.5465/amr.2006.22527462Google Scholar
Vancouver, J. B. (1996). Living systems theory as a paradigm for organizational behavior: Understanding humans, organizations, and social processes. Behavioral Science, 41, 165–204.Google Scholar
Vancouver, J. B. (2008). Integrating self-regulation theories of work motivation into a dynamic process theory. Human Resource Management Review, 18, 1–18.Google Scholar
Wallsten, T. S., Pleskac, T. J., & Lejuez, C. W. (2005). Modeling behavior in a clinically diagnostic sequential risk-taking task. Psychological Review, 112, 862–880.Google Scholar
Yechiam, E., & Busemeyer, J. R. (2008). Evaluating generalizability and parameter consistency in learning models. Games and Economic Behavior, 63, 370–394.Google Scholar
Yechiam, E., Busemeyer, J. R., Stout, J. C., & Bechara, A. (2005). Using cognitive models to map relations between neuropsychological disorders and human decision-making deficits. Psychological Science, 16, 973–978.Google Scholar