Requests for reprints should be sent to either the first or second author. Rod K. Dishman is currently with the Department of Health and Physical Education, Southwest Missouri State University, Springfield, MO 65802. William Ickes is now with the Department of Psychology, University of Missouri, St. Louis, MO.
Self-Motivation and Adherence to Habitual Physical Activity1
Article first published online: 31 JUL 2006
Journal of Applied Social Psychology
Volume 10, Issue 2, pages 115–132, April 1980
How to Cite
Dishman, R. K., Ickes, W. and Morgan, W. P. (1980), Self-Motivation and Adherence to Habitual Physical Activity. Journal of Applied Social Psychology, 10: 115–132. doi: 10.1111/j.1559-1816.1980.tb00697.x
The authors would like to express their appreciation to Larry R. Gettman and The Institute for Aerobics Research, Dallas, Texas; Michael Giese and the Biodynamics Exercise Program, University of Wisconsin–Madison; Phillip K. Wilson and Scott V. Campbell of the LaCrosse Exercise Programs, University of Wisconsin–LaCrosse; and Jay Mimier and Sue Ela, coaches of the University of Wisconsin women's crew teams, for their assistance in various aspects of data collection.
- Issue published online: 31 JUL 2006
- Article first published online: 31 JUL 2006
The purpose of this investigation was to develop and refine a psychometric measure of self-motivation and assess its relationship to adherence to programs of habitual physical activity. Following construction of a Self-Motivation Inventory, a series of studies were conducted involving the pretesting of undergraduate males and females (N= 401) and subsequent validation work involving intercollegiate women athletes (N= 64) and adult males (N= 66) in actual exercise settings. Results of the psychometric work provided evidence for the logical validity, internal consistency, and test-retest reliability of the self-motivation construct. In addition, convergent and discriminant evidence was provided for construct validity through self-motivation's pattern of association with other conceptually relevant psychometric variables. Finally, from the standpoint of behavioral validation, self-motivation proved to be the best discriminator between exercise adherers and dropouts among the psychological variables employed and was strongly related to program adherence in both exercise settings. In fact, when combined with selected morphologic variables in a psychobiologic framework, self-motivation scores were found to accurately classify participants according to their adherence status in approximately 80% of all cases and to account for nearly 50% of the variance in exercise adherence behavior.