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Academic burnout profiles in Korean adolescents
Author(s) -
Lee Jayoung,
Puig Ana,
Kim YoungBin,
Shin Hyojung,
Lee Ji Hee,
Lee Sang Min
Publication year - 2010
Publication title -
stress and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 61
eISSN - 1532-2998
pISSN - 1532-3005
DOI - 10.1002/smi.1312
Subject(s) - burnout , psychology , clinical psychology , categorical variable , cluster (spacecraft) , programming language , machine learning , computer science
The purpose of this study is to identify specific burnout patterns among Korean students. Using a cluster analysis procedure and the Maslach Burnout Inventory–Student Survey, four clusters were identified: (1) distressed group; (2) laissez‐faire group; (3) persevering group; and (4) well‐functioning group. In addition, the results of categorical regression analysis indicated that self‐esteem and Grade Point Average (GPA) were good discriminators between the four clusters. Specifically, students who self‐identified as not experiencing burnout (well‐functioning group) were found to have the highest scores on GPA and positive self‐esteem. Practical implications for educators are discussed. Copyright © 2010 John Wiley & Sons, Ltd.