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Autor/inn/enKim, Lisa E.; Buric, Irena
TitelTeacher Self-Efficacy and Burnout: Determining the Directions of Prediction through an Autoregressive Cross-Lagged Panel Model
QuelleIn: Journal of Educational Psychology, 112 (2020) 8, S.1661-1676 (16 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0022-0663
DOI10.1037/edu0000424
SchlagwörterSelf Efficacy; Teacher Burnout; Predictor Variables; Foreign Countries; Elementary School Teachers; Middle School Teachers; High School Teachers; Structural Equation Models; Teacher Persistence; Measures (Individuals); Croatia
AbstractIt is often assumed that low levels of teacher self-efficacy (TSE) leads to negative outcomes, including burnout; however, the temporal order of the construct predictions has rarely been examined. We used an autoregressive cross-lagged panel design to examine whether TSE and burnout are concurrently associated with each other, whether TSE predicts future burnout levels, and/or whether burnout predicts future TSE levels. An initial sample of 3,002 Croatian teachers (82% female) from across three educational levels (i.e., elementary, middle, and secondary schools) with varying years of teaching experiences (M=15.28, SD=10.50) completed questionnaires on their levels of TSE and burnout (exhaustion and disengagement) at 3 time points (at approximately 6-month intervals). We found that burnout has a more prominent role in predicting future levels of TSE than TSE does in predicting future levels of burnout. These findings challenge the theoretical and empirical conceptualizations assuming that TSE is a predictor of burnout. Policies and interventions that focus on decreasing teacher burnout rather than increasing TSE levels may be best. (As Provided).
AnmerkungenAmerican Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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