Journal article
Using Cluster Analysis to Examine the Combinations of Motivation Regulations of Physical Education Students
Journal of sport & exercise psychology, Vol.31(3), pp.358-379
06/2009
Handle:
https://hdl.handle.net/2376/109941
PMID: 19798998
Abstract
According to self-determination theory, motivation is multidimensional, with motivation regulations lying along a continuum of self-determination (Ryan & Deci, 2007). Accounting for the different types of motivation in physical activity research presents a challenge. This study used cluster analysis to identify motivation regulation profiles and examined their utility by testing profile differences in relative levels of self-determination (i.e., self-determination index), and theoretical antecedents (i.e., competence, autonomy, relatedness) and consequences (i.e., enjoyment, worry, effort, value, physical activity) of physical education motivation. Students (N = 386) in 6th- through 8th-grade physical education classes completed questionnaires of the variables listed above. Five profiles emerged, including average (n = 81), motivated (n = 82), self-determined (n = 91), low motivation (n = 73), and external (n = 59). Group difference analyses showed that students with greater levels of self-determined forms of motivation, regardless of non-self-determined motivation levels, reported the most adaptive physical education experiences.
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Details
- Title
- Using Cluster Analysis to Examine the Combinations of Motivation Regulations of Physical Education Students
- Creators
- Sarah Ullrich-French - 1Washington State UniversityAnne Cox - 2Illinois State University
- Publication Details
- Journal of sport & exercise psychology, Vol.31(3), pp.358-379
- Academic Unit
- UNKNOWN
- Identifiers
- 99900547491801842
- Language
- English
- Resource Type
- Journal article