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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...

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Autores principales: Zhao, Rui, Ling, Tianye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
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.
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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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