Kim, Lisa orcid.org/0000-0001-9724-2396 and Burić, Irena (2020) Teacher self-efficacy and burnout:Determining the directions of prediction through an autoregressive cross-lagged panel model. Journal of Educational Psychology. 1661–1676. ISSN 0022-0663
Abstract
It 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 3002 Croatian teachers (82% female) from across three educational levels (i.e., elementary, middle, and secondary schools) with varying years of teaching experiences (M=5.28, SD=10.50) completed questionnaires on their levels of TSE and burnout (exhaustion and disengagement) at three time points (at approximately six-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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | teacher burnout,self-efficacy,teacher effectiveness,teacher retention,Structural Equation Modelling |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Education (York) |
Depositing User: | Pure (York) |
Date Deposited: | 16 Sep 2019 08:10 |
Last Modified: | 02 Apr 2025 23:16 |
Published Version: | https://doi.org/10.1037/edu0000424 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1037/edu0000424 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150832 |