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教师倦怠和自我效能感对社会情感和行为筛查评分中与教师相关的变异性的影响。

Influence of teacher burnout and self-efficacy on teacher-related variance in social-emotional and behavioral screening scores.

机构信息

Department of Educational, School, and Counseling Psychology.

Department of Educational Psychology.

出版信息

Sch Psychol. 2019 Sep;34(5):503-511. doi: 10.1037/spq0000304. Epub 2018 Dec 27.

Abstract

Universal screening is useful in the early identification of behavioral and emotional concerns, but teacher-related variance can potentially influence screening scores and resulting decisions. The current study examined the extent to which burnout and self-efficacy as teacher-level variables accounted for variance in universal screening scores. The study participants included 1,314 K-6 students and 56 elementary school teachers. Teachers completed the Social, Academic, and Emotional Behavior Risk Screener (SAEBRS) for each student in their classroom, while also completing rating scales regarding their personal self-efficacy and levels of burnout. Hierarchical linear modeling was employed to estimate the extent of teacher-related variance and whether burnout and self-efficacy accounted for this variance. Unconditional models indicated 12-30% of variance in screening scores was between teachers. Conditional models indicated teacher self-efficacy and the depersonalization component of teacher burnout were statistically significant predictors of Emotional Behavior and Total Behavior scores on the SAEBRS. Results further suggested that when combined, burnout and self-efficacy variables accounted for 7-30% of between-teacher variance in screening scores. Implications for practice and future research are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

摘要

普遍筛查有助于早期识别行为和情绪问题,但教师相关的差异可能会影响筛查分数和结果决策。本研究考察了教师层面的倦怠和自我效能感作为变量,在多大程度上解释了普遍筛查分数的差异。研究参与者包括 1314 名 K-6 学生和 56 名小学教师。教师们为每个教室里的学生填写了《社会、学术和情绪行为风险筛查器》(SAEBRS),同时还填写了关于个人自我效能感和倦怠程度的评定量表。分层线性模型用于估计教师相关差异的程度,以及倦怠和自我效能感是否解释了这种差异。无条件模型表明,筛查分数的 12-30%的差异存在于教师之间。条件模型表明,教师自我效能感和教师倦怠的去人性化成分是 SAEBRS 中情绪行为和总行为分数的统计学显著预测因子。结果进一步表明,当倦怠和自我效能感变量结合在一起时,它们可以解释筛查分数中 7-30%的教师间差异。讨论了对实践和未来研究的影响。(APA,2019)

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