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Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing
This study drew on Garrison’s self-directed learning model for university students in a self-determination theory framework. We adopted a person-centered approach to explore the different combinations of self-management and self-monitoring. Using a sample of Chinese university students (N = 142), we...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681150/ https://www.ncbi.nlm.nih.gov/pubmed/36425814 http://dx.doi.org/10.3389/fpsyg.2022.1023920 |
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author | Zhao, Rui Ling, Tianye |
author_facet | Zhao, Rui Ling, Tianye |
author_sort | Zhao, Rui |
collection | PubMed |
description | This study drew on Garrison’s self-directed learning model for university students in a self-determination theory framework. We adopted a person-centered approach to explore the different combinations of self-management and self-monitoring. Using a sample of Chinese university students (N = 142), we obtained the following data via a self-report survey: autonomous motivation, controlled motivation, self-management, self-monitoring, academic engagement, and wellbeing. Latent profile analysis (LPA) distinguished three self-management and self-monitoring profiles, which are “very low/low,” “high/high,” and “low/very low.” Profiles with a high level of self-management and self-monitoring were positively connected with adaptive outcomes and linked to autonomous motivation. Implications are outlined for theory and practice. |
format | Online Article Text |
id | pubmed-9681150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96811502022-11-23 Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing Zhao, Rui Ling, Tianye Front Psychol Psychology This study drew on Garrison’s self-directed learning model for university students in a self-determination theory framework. We adopted a person-centered approach to explore the different combinations of self-management and self-monitoring. Using a sample of Chinese university students (N = 142), we obtained the following data via a self-report survey: autonomous motivation, controlled motivation, self-management, self-monitoring, academic engagement, and wellbeing. Latent profile analysis (LPA) distinguished three self-management and self-monitoring profiles, which are “very low/low,” “high/high,” and “low/very low.” Profiles with a high level of self-management and self-monitoring were positively connected with adaptive outcomes and linked to autonomous motivation. Implications are outlined for theory and practice. Frontiers Media S.A. 2022-11-08 /pmc/articles/PMC9681150/ /pubmed/36425814 http://dx.doi.org/10.3389/fpsyg.2022.1023920 Text en Copyright © 2022 Zhao and Ling. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Zhao, Rui Ling, Tianye Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing |
title | Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing |
title_full | Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing |
title_fullStr | Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing |
title_full_unstemmed | Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing |
title_short | Latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing |
title_sort | latent profile analysis of university students’ self-management and self-monitoring in the links among motivation, engagement, and wellbeing |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681150/ https://www.ncbi.nlm.nih.gov/pubmed/36425814 http://dx.doi.org/10.3389/fpsyg.2022.1023920 |
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