将单变量和元分析结构方程建模方法进行比较,以对马斯拉赫燃烧库存应用的可靠性概括
Raimundo Aguayo-Estremera1, Gustavo R Cañadas-De la Fuente2, Tania Ariza3
1Department of Psychobiology and Methodology in Behavioral Science, Universidad Complutense de Madrid, Madrid, Spain.
Frontiers in psychology
|May 23, 2024
概括
这项研究使用元分析更新了Maslach Burnout Inventory (MBI) 的可靠性估计. 结果显示大多数MBI维度的可接受可靠性,尽管非个性化得分低于推值.
科学领域:
- 心理评估 心理评估
- 心理测量 心理测量 心理测量
- 倦怠研究研究 倦怠研究
背景情况:
- 可靠性概括元分析对于理解测试成绩的一致性至关重要.
- 之前的2011年分析报告了MBI平均α值在0.71和0.88.8之间.
- 马斯拉赫燃烧库存 (MBI) 是一种广泛使用的燃烧指标.
研究的目的:
- 更新马斯拉赫燃烧 inventory (MBI) 维度的平均可靠性系数.
- 将传统的单变量元分析方法与一种新的元分析结构方程建模 (MASEM) 方法进行比较.
- 使用MASEM评估MBI的内部结构.
主要方法:
- 对2010年至今的MBI可靠性研究进行了文献搜索.
- 应用了使用69个可靠性系数的单变量元分析方法.
- 利用MASEM与9项独立研究来估计可靠性并测试MBI的内部结构.
主要成果:
- 双因素模型最好地代表了MBI的内部结构,表明了占主导地位的一般因素.
- 大多数MBI维度实现了可接受的alpha和omega可靠性系数.
- 对非个性化维度的可靠性估计低于推标准.
结论:
- 马斯拉赫 (Maslach) 倦怠 inventory (MBI) 显示了这三个因素之间的高度相互联系.
- MBI适合用于研究目的,具有普遍可接受的心理测量特性.
- 在未来的MBI研究和应用中,无人化可靠性值得关注.
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