Teachers Classification According to Risk Factors and Alternatives Proposed to Reduce Teachers' Work burnout: SEM Tree Analysis
Keywords:
Work Burnout, Teacher, SEM TreeAbstract
Teachers affected by burnout from work-related stress would perform poorly, which in turn affects students’ learning. This research aimed to 1) investigate teachers’ work burnout and related risk factors, 2) develop and examine a structural equation model (SEM) of teachers’ burnout, and 3) classify the teachers based on their risk factors. Data from 720 teachers under the Office of the Basic Education Commission were collected by online questionnaires, then analyzed by independent sample t-test, one-way ANOVA, SEM, and SEM tree.
The results showed that about 70% of the teachers had moderate to high levels of work burnout when the overall mean of burnout level was moderate (M = 2.950, SD = 1.954). In addition, their age, salary, work experience, and extra workload were the important risk factors of work burnout. The SEM results suggested that teachers’ self-efficacy and school support significantly affected work burnout, with work engagement acted as a partial mediator (chi-square (346, N = 720) = 1142.254, p < .001). Finally, the SEM tree analysis results classified the sample into 6 groups based on their work burnout level and background variables. Therefore, alternatives to reduce teachers' burnout in the work of each group were proposed.
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