Submitted to: Journal of Physical Activity and Health
Publication Type: Peer reviewed journal
Publication Acceptance Date: 5/1/2008
Publication Date: 7/7/2008
Citation: Anderson, C.B., Coleman, K.J. 2008. Adaptation and validation of the athletic identity questionnaire-adolescent for use with children. Journal of Physical Activity and Health. 5(4):539-558. Interpretive Summary: People's opinion about how athletic they are is related to how much physical activity they do. By measuring athletic identity, we can identify aspects of people's self-views that we can try to improve with physical activity interventions, and we can identify people who are at high risk for long-term inactivity. We conducted this research because we had questionnaires to measure athletic identity in adults and adolescents, but not in children. We needed to reword some of the questions for younger children and validate the revised questionnaire in samples of children. This work is significant because a questionnaire is now available to measure the four dimensions of athletic identity (appearance, competence, importance of physical activity and sports, and encouragement from others) in elementary school children.
Technical Abstract: This article describes the adaptation of the Athletic Identity Questionnaire (AIQ) for Adolescents for use with children and evaluates its construct validity. Based on a theoretical model supported in adults and adolescents, the AIQ-Child measures the general attribute of athletic, which encompasses exercise, sports, and physical activity, and assesses 4 dimensions: appearance, competence, importance of activity, and encouragement from 3 sources (parents, friends, teachers/other adults). The hypothesized 4-factor model was tested using structural equation modeling in 2 samples of 9- and 10-year-old children that were ethnically diverse (N = 432) and Hispanic (N = 504). Confirmatory factor analysis using LISREL 8.71 supported the 4-factor structure in a 40- or 38-item version in sample 1 (RMSEA = .039, .041) and sample 2 (RMSEA = .038, .038). As in the adult and adolescent models, there was also support for a higher-order model. The AIQ-Child factors were positively related to physical activity (r = .51 to .68) and fitness (r = .15 to .41) and negatively related to TV/computer use (r = -.28 to -.03) and adiposity (r = -.32 to .04). Findings support the factorial and construct validity of the AIQ-Child and its use as a self-report instrument in younger children.