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Motivational Profiles and Achievement Goal Dominance in PhysicalEducation

Published online by Cambridge University Press:  16 May 2014

Antonio Méndez-Giménez*
Affiliation:
Universidad de Oviedo (Spain)
José-Antonio Cecchini-Estrada
Affiliation:
Universidad de Oviedo (Spain)
Javier Fernández-Río
Affiliation:
Universidad de Oviedo (Spain)
*
*Correspondence concerning this articleshould be addressed to Antonio Méndez-Giménez. Universidadde Oviedo. Facultad de Formación del Profesorado yEducación. C/ Aniceto Sela, s/n (219). Oviedo (Spain). 33005. Phone:+34–985102850. E-mail: mendezantonio@uniovi.es

Abstract

The main goal was to compare idiographic profiles of achievement goal dominance(AGD) and motivational profiles based on 2x2 achievement goals to improve ourunderstanding of how the four achievement goals work in conjunction with oneanother, and to discern which profiles are most adaptive in the PhysicalEducation context. A total of 351 students (203 males; 148 females)(M = 14.26 ± 1.37 years) from 3 differentsecondary schools agreed to participate. 86.6% (N =303) showed AGD, mostly mastery-approach dominance (62.9%).We examined the fourAGD groups’ idiographic profiles and how they relate to certainpositive (autonomous motivation and positive affect) and negative variables(controlled motivation and amotivation). The results supported the hypotheses ofAGD theory (MANOVA one-way, Wilks’ lambda= .609, F(24, 298) = 7.96,p < .001, η2 = .15).Subsequently, k-means cluster analysis was performed, yielding4 distinct achievement goal profiles. The most adaptive was named“mastery goals”, while “high achievementgoals” were the second most adaptive. AGDparticipants’distribution across the different motivational clusterswas also ascertained (MANOVA one-way, Wilks’ lambda= .678, F(12, 910) = 12.01,p < .001, η2 =.12).

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2014 

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