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

Chee Keng John Wang*, Woon Chia Liu, Youyan Nie, Yen Leng Stefanie Chye, Boon San Coral Lim, Gregory Arief Liem, Eng Guan Tay, Ying Yi Hong, Chi Yue Chiu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

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.

Original languageEnglish
Article numbere00308
JournalHeliyon
Volume3
Issue number5
DOIs
Publication statusPublished - May 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 The Authors

ASJC Scopus Subject Areas

  • General

Keywords

  • Education

Cite this