Cargando…

Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach

General self-efficacy plays a critical role in the development of college students, and mastering the development of students' general self-efficacy is helpful to explain students' behavior and psychological performance. Based on the data from the same cohort of college students for four c...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xinqiao, Ji, Xinyu, Zhang, Yifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163656/
https://www.ncbi.nlm.nih.gov/pubmed/37159689
http://dx.doi.org/10.1016/j.heliyon.2023.e15750
_version_ 1785037928847638528
author Liu, Xinqiao
Ji, Xinyu
Zhang, Yifan
author_facet Liu, Xinqiao
Ji, Xinyu
Zhang, Yifan
author_sort Liu, Xinqiao
collection PubMed
description General self-efficacy plays a critical role in the development of college students, and mastering the development of students' general self-efficacy is helpful to explain students' behavior and psychological performance. Based on the data from the same cohort of college students for four consecutive years, this study used the piecewise growth mixture model to identify the developmental trajectories of general self-efficacy, built a multinomial logistic regression model to analyze the related predictors on different trajectories, and further compared the differences in depression symptoms in general self-efficacy trajectories. Three trajectories of college students' general self-efficacy were identified: stable-rising (8.7%), stable-decreasing (2.4%), and moderate and stable (88.9%). With the moderate and stable class as the reference, gender and extraversion are the predictors of students in the stable-increasing class; gender, extraversion, mother’s education level, and university tier significantly predict students who fall into the stable-decreasing class. With the stable-increasing class as the reference, gender also has a significant predictive effect on students who belong to the stable-decreasing class. However, age, ethnicity, siblings, hometown location, father’s education level, BMI, sleep, and major were not related predictors. Furthermore, mean differences in depression between latent classes of general self-efficacy trajectories were significant, and the depression scores of the stable-decreasing class were beyond the normal range in the third and fourth years. To promote college students' mental health, we suggest that colleges provide more specific psychological interventions to students based on the classification.
format Online
Article
Text
id pubmed-10163656
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-101636562023-05-07 Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach Liu, Xinqiao Ji, Xinyu Zhang, Yifan Heliyon Research Article General self-efficacy plays a critical role in the development of college students, and mastering the development of students' general self-efficacy is helpful to explain students' behavior and psychological performance. Based on the data from the same cohort of college students for four consecutive years, this study used the piecewise growth mixture model to identify the developmental trajectories of general self-efficacy, built a multinomial logistic regression model to analyze the related predictors on different trajectories, and further compared the differences in depression symptoms in general self-efficacy trajectories. Three trajectories of college students' general self-efficacy were identified: stable-rising (8.7%), stable-decreasing (2.4%), and moderate and stable (88.9%). With the moderate and stable class as the reference, gender and extraversion are the predictors of students in the stable-increasing class; gender, extraversion, mother’s education level, and university tier significantly predict students who fall into the stable-decreasing class. With the stable-increasing class as the reference, gender also has a significant predictive effect on students who belong to the stable-decreasing class. However, age, ethnicity, siblings, hometown location, father’s education level, BMI, sleep, and major were not related predictors. Furthermore, mean differences in depression between latent classes of general self-efficacy trajectories were significant, and the depression scores of the stable-decreasing class were beyond the normal range in the third and fourth years. To promote college students' mental health, we suggest that colleges provide more specific psychological interventions to students based on the classification. Elsevier 2023-04-25 /pmc/articles/PMC10163656/ /pubmed/37159689 http://dx.doi.org/10.1016/j.heliyon.2023.e15750 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Liu, Xinqiao
Ji, Xinyu
Zhang, Yifan
Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach
title Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach
title_full Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach
title_fullStr Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach
title_full_unstemmed Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach
title_short Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach
title_sort trajectories of college students' general self-efficacy, the related predictors, and depression: a piecewise growth mixture modeling approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163656/
https://www.ncbi.nlm.nih.gov/pubmed/37159689
http://dx.doi.org/10.1016/j.heliyon.2023.e15750
work_keys_str_mv AT liuxinqiao trajectoriesofcollegestudentsgeneralselfefficacytherelatedpredictorsanddepressionapiecewisegrowthmixturemodelingapproach
AT jixinyu trajectoriesofcollegestudentsgeneralselfefficacytherelatedpredictorsanddepressionapiecewisegrowthmixturemodelingapproach
AT zhangyifan trajectoriesofcollegestudentsgeneralselfefficacytherelatedpredictorsanddepressionapiecewisegrowthmixturemodelingapproach