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A reliability generalization meta-analysis of coefficient alpha for the Maslach burnout inventory

机译：Maslach倦怠清单的系数α可靠性归纳元分析

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摘要

The purpose of this study was to synthesize internal consistency reliability for the subscale scores on the Maslach Burnout Inventory (MBI). The authors addressed three research questions: (a) What is the mean subscale score reliability for the MBI across studies? (b) What factors are associated with observed variance in MBI subscale score reliability? (c) What are the implications for appropriate use based on MBI subscale mean internal consistency estimates? Of the 221 studies reviewed, 84 provided alpha coefficients and were used in the current analysis. Results suggest that mean alpha estimates across subscales generally fell within the.70 to.80 range. Scale variance and language most often accounted for the variance in coefficient alpha, although some variations were apparent between subscales. Of the three MBI subscales, Personal Accomplishment and Depersonalization mean alpha estimates were well below recommended levels for high-stakes decisions, such as the diagnosis of burnout syndrome. Recommendations for the use of the current version of the instrument's scale scores as well as suggestions for scale refinement are provided.
机译：这项研究的目的是为Maslach倦怠量表（MBI）上的子量表评分综合内部一致性信度。作者回答了三个研究问题：（a）在整个研究中，MBI的平均子量表评分可靠性是多少？ （b）哪些因素与MBI子量表评分可靠性的观测差异相关？ （c）根据MBI分量表平均内部一致性估计值适当使用会有什么影响？在所审查的221项研究中，有84项提供了alpha系数，并用于当前分析中。结果表明，各个分量表的平均alpha估计值通常在70到80之间。量表差异和语言最常解释系数α的差异，尽管在子量表之间存在一些明显差异。在这三个MBI分量表中，个人成就和人格解体的平均alpha估计值远低于高风险决策（例如倦怠综合征的诊断）的建议水平。提供了有关使用当前版本的乐器音阶分数的建议以及音阶细化的建议。

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