Towards an understanding of teacher attrition: A meta-analysis of burnout, job satisfaction, and teachers’ intentions to quit

损耗 工作满意度 倦怠 心理学 荟萃分析 社会心理学 应用心理学 临床心理学 医学 内科学 牙科
作者
Daniel J. Madigan,Lisa E. Kim
出处
期刊:Teaching and Teacher Education [Elsevier]
卷期号:105: 103425-103425 被引量:282
标识
DOI:10.1016/j.tate.2021.103425
摘要

Teacher attrition continues to be a concern for school leaders and policymakers in many countries. To help further understand why teachers leave the profession and to inform the development of targeted interventions to reduce this phenomenon, in the present study we aimed to provide the first meta-analytic examination of (a) the relationship between burnout and teachers' intentions to quit, (b) the relationship between job satisfaction and teachers' intentions to quit, and (c) whether burnout or job satisfaction is more important in predicting teachers' intentions to quit. Random-effects meta-analyses indicated that the three dimensions of burnout showed significant positive relationships with teachers' intentions to quit (exhaustion [r+ = .41], depersonalization [r+ = 0.32], and reduced accomplishment [r+ = 0.21]). In addition, there was evidence that the strength of these relationships has increased over time. Job satisfaction showed a significant negative relationship with teachers' intentions to quit (r+ = −0.40). Burnout dimensions also showed significant negative relationships with job satisfaction (exhaustion [r+ = −0.42], depersonalization [r+ = −0.38], and reduced accomplishment [r+ = −0.30]). Multiple regression analyses based on these meta-analytic effects indicated that burnout and job satisfaction together explained 27% of the variance in teachers' intentions to quit. Finally, relative importance analyses indicated that burnout symptoms accounted for the majority of this explained variance. These findings suggest that burnout and job satisfaction are highly important in predicting teachers’ intentions to quit, but it appears that, although they are related, burnout may confer a greater risk than job satisfaction confers protection, and this risk may be increasing over time.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
汉堡包应助五等分的商鞅采纳,获得10
刚刚
qiqi完成签到,获得积分10
1秒前
1秒前
2秒前
123456发布了新的文献求助10
2秒前
领导范儿应助低空飞行采纳,获得10
3秒前
3秒前
3秒前
4秒前
Hello应助清爽的晓啸采纳,获得10
4秒前
4秒前
4秒前
知非发布了新的文献求助10
5秒前
YAN完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助10
5秒前
rs完成签到,获得积分10
6秒前
好运莲莲完成签到,获得积分10
7秒前
自由小蚂蚁完成签到,获得积分10
7秒前
7秒前
8秒前
weiba发布了新的文献求助10
8秒前
李健应助HTH采纳,获得10
8秒前
8秒前
Momomo应助望安采纳,获得10
8秒前
净心发布了新的文献求助10
9秒前
10秒前
初空月儿发布了新的文献求助10
10秒前
吃瓜少女发布了新的文献求助30
11秒前
11秒前
FashionBoy应助ll采纳,获得10
11秒前
大胆的琦完成签到,获得积分10
11秒前
杜熙诺完成签到,获得积分10
12秒前
季同学关注了科研通微信公众号
12秒前
12秒前
12秒前
13秒前
13秒前
youjianyu完成签到,获得积分10
14秒前
低空飞行发布了新的文献求助10
14秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 25000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5704391
求助须知:如何正确求助?哪些是违规求助? 5157712
关于积分的说明 15242178
捐赠科研通 4858489
什么是DOI,文献DOI怎么找? 2607261
邀请新用户注册赠送积分活动 1558251
关于科研通互助平台的介绍 1516075