The effects of psychological maladjustments on predicting developmental trajectories of academic burnout
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Min Young | - |
dc.contributor.author | Lee, Sang Min | - |
dc.date.accessioned | 2021-09-02T11:13:04Z | - |
dc.date.available | 2021-09-02T11:13:04Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2018-06 | - |
dc.identifier.issn | 0143-0343 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/75397 | - |
dc.description.abstract | We identified developmental trajectories of academic burnout related to psychological maladjustments (i.e., compulsion and depression) in 7th and 8th grade Korean adolescents. This is vital because it facilitates early awareness of burnout trends and related psychological maladjustments, which might influence mental health problems, thus promoting proactive prevention and intervention before deterioration. We utilized four-wave longitudinal data from 415 adolescents who completed the Maslach Burnout Inventory-Student Survey and Symptom Check List-47. Data were analysed using growth mixture modeling. The results indicated that developmental trajectories of academic burnout can be characterized by three linear trajectories, moderate-maintain' (N=213, 51.33%) which is related to depression, low-deteriorated' (N=15, 3.61%) which is related to compulsion, and well-adjusted' (N=158, 38.07%) which is related to no maladjustment symptoms. This longitudinal study promotes understanding of middle school students who may experience academic burnout and can facilitate early interventions for academic burnout. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SAGE PUBLICATIONS LTD | - |
dc.subject | DEPRESSIVE SYMPTOMS | - |
dc.subject | DISCRIMINANT VALIDITY | - |
dc.subject | SCHOOL BURNOUT | - |
dc.subject | JOB STRAIN | - |
dc.subject | WORKAHOLISM | - |
dc.subject | CONSEQUENCES | - |
dc.subject | ADOLESCENTS | - |
dc.subject | WORK | - |
dc.subject | ACHIEVEMENT | - |
dc.subject | ENGAGEMENT | - |
dc.title | The effects of psychological maladjustments on predicting developmental trajectories of academic burnout | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Sang Min | - |
dc.identifier.doi | 10.1177/0143034318766206 | - |
dc.identifier.scopusid | 2-s2.0-85044947096 | - |
dc.identifier.wosid | 000436068700001 | - |
dc.identifier.bibliographicCitation | SCHOOL PSYCHOLOGY INTERNATIONAL, v.39, no.3, pp.217 - 233 | - |
dc.relation.isPartOf | SCHOOL PSYCHOLOGY INTERNATIONAL | - |
dc.citation.title | SCHOOL PSYCHOLOGY INTERNATIONAL | - |
dc.citation.volume | 39 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 217 | - |
dc.citation.endPage | 233 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Psychology | - |
dc.relation.journalWebOfScienceCategory | Psychology, Educational | - |
dc.subject.keywordPlus | DEPRESSIVE SYMPTOMS | - |
dc.subject.keywordPlus | DISCRIMINANT VALIDITY | - |
dc.subject.keywordPlus | SCHOOL BURNOUT | - |
dc.subject.keywordPlus | JOB STRAIN | - |
dc.subject.keywordPlus | WORKAHOLISM | - |
dc.subject.keywordPlus | CONSEQUENCES | - |
dc.subject.keywordPlus | ADOLESCENTS | - |
dc.subject.keywordPlus | WORK | - |
dc.subject.keywordPlus | ACHIEVEMENT | - |
dc.subject.keywordPlus | ENGAGEMENT | - |
dc.subject.keywordAuthor | academic burnout | - |
dc.subject.keywordAuthor | compulsion | - |
dc.subject.keywordAuthor | depression | - |
dc.subject.keywordAuthor | growth mixture modeling | - |
dc.subject.keywordAuthor | longitudinal analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.