A Mediation Model of Profiles of Motivational Regulation Strategies for Academic Tasks

Authors

  • Kim T. Trang University of Kansas
  • Qianqian Pan The University of Hong Kong
  • David M. Hansen University of Kansas

DOI:

https://doi.org/10.33423/jmpp.v21i4.3242

Keywords:

Management Policy, motivational regulation, self-regulated learning, mediation analysis, latent profiles, academic achievement

Abstract

Motivational regulation strategies are methods used to manage motivation levels. We used latent profile analysis to investigate strategy combinations and structural equation modeling to investigate how strategy profiles were related to achievement. Confirmatory factor analyses showed an eight-factor model was a good fit for the data and overall small to moderate correlations with metacognitive strategies and self-efficacy. Moreover, a three-profile solution provided the best fit for the data, differentiating among low, medium, and high usage of strategies. Results showed metacognitive strategies and self-efficacy fully mediated the relations between strategy profiles and achievement. Implications for education and management are discussed.

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Published

2020-11-24

How to Cite

Trang, K. T., Pan, Q., & Hansen, D. M. (2020). A Mediation Model of Profiles of Motivational Regulation Strategies for Academic Tasks. Journal of Management Policy and Practice, 21(4). https://doi.org/10.33423/jmpp.v21i4.3242

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Articles