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Latent profile analysis of students’ motivation and outcomes in mathematics: an organismic integration theory perspective

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 profile...

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Detalles Bibliográficos
Autores principales: Wang, Chee Keng John, Liu, Woon Chia, Nie, Youyan, Chye, Yen Leng Stefanie, Lim, Boon San Coral, Liem, Gregory Arief, Tay, Eng Guan, Hong, Ying-Yi, Chiu, Chi-Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454135/
https://www.ncbi.nlm.nih.gov/pubmed/28607954
http://dx.doi.org/10.1016/j.heliyon.2017.e00308
Descripción
Sumario: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.