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Latent profile analysis of students' motivation and outcomes in mathematics: an organismic integration theory
Chee Keng John Wang1, Woon Chia Liu1, Youyan Nie1
1Nanyang Technology University, National Institute of Education, Singapore.
Abstract:
The purpose of the current study was to identify the motivation profiles at the intraindividual level using a latent profile analyses (LPA) approach. A total of 1151 secondary school students aged 13 to 17 years old from Singapore took part in the study. Using LPA, four distinct motivational profiles were identified based on four motivation regulations. Profile 1 has very low introjected and low autonomous motivation (6% of sample). Profile 2 had high external and identified regulations and very low intrinsic regulation (10%). Profile 3 consisted of students with high identified and intrinsic regulations (51%). Profile 4 had moderately low identified and intrinsic regulations (33%). The results showed that the four profiles differed significantly in terms of effort, competence, value, and time spent on math beyond homework. The best profile (Profile 3) reported highest scores in effort, value, competence and time spent on Math beyond homework. The worst profile (Profile 1) reported lowest scores in all the four outcome variables.
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