Personal best goal and self-regulation as predictors of mathematics achievement: A multilevel structural equation model

Magdalena Mo Ching MOK, Ying Wah Michael WONG, Michael Ronald SU, Jim TOGNOLINI, Gordon STANLEY

Research output: Contribution to journalArticlespeer-review

Abstract

This study aimed to identify personal best goal and self-regulation as predictors of mathematics achievement for primary students. The sample comprised 3,821 (2,021 males and 1,800 females) students between Grades 3 to Grade 5 at 26 primary schools in Hong Kong. Students' personal best goals and self-regulation were used to predict their mathematics achievement six months later. Multilevel structural equation models were fitted to the data using the MPLUS software. Results showed that after controlling for student gender and grade level, students' personal best goal predicted their subsequent mathematics achievement. In contrast, self-regulation had no direct effect on students' mathematics achievement. Self-regulation affected mathematics achievement only indirectly via students' personal best goals. Copyright © 2014 National Academy for Educational Research.
Original languageEnglish
Pages (from-to)79-91
JournalAsia Pacific Journal of Educational Development
Volume3
Issue number1
DOIs
Publication statusPublished - Jun 2014

Citation

Mok, M. M. C., Wong, M. Y. W., Su, M. R., Tognolini, J., & Stanley, G. (2014), Personal best goal and self-regulation as predictors of mathematics achievement: A multilevel structural equation model. Asia Pacific Journal of Educational Development, 3(1), 79-91.

Keywords

  • Learning goals
  • Self-regulation
  • Mathematics achievement
  • Primary

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