克朗巴赫阿尔法
倦怠
脱离理论
验证性因素分析
心理学
结构方程建模
结构效度
皮尔逊积矩相关系数
探索性因素分析
可靠性(半导体)
情绪衰竭
标准效度
判别效度
有效性
统计
临床心理学
内部一致性
数学
心理测量学
医学
老年学
物理
功率(物理)
量子力学
作者
Huiwen Xu,Yuan Yuan,Weijuan Gong,Jingyi Zhang,Xinyi Liu,Peiyao Zhu,En Takashi,Akio Kitayama,Xiaojuan Wan,Jianhui Jiao
出处
期刊:Nursing open
[Wiley]
日期:2021-09-21
卷期号:9 (1): 320-328
被引量:7
摘要
This study aims to develop a reliable and validate Chinese version of Oldenburg Burnout Inventory (OLBI).A cross-sectional validation design was adopted in this study.After obtaining the copyright by contacting with the author, the original English OLBI was developed to Chinese by forward translation, back-translation, cultural adaptation and a pre-test (20 nurses). The Chinese OLBI and Maslach Burnout Inventory (MBI) were administered to 641 clinical nurses during July and August, 2020. Internal consistency (Cronbach's α coefficient), split reliability (split half coefficient), construct validity (confirmatory factor analysis) and criterion validity (comparison with MBI, using Pearson correlation analysis) were assessed.The Chinese OLBI included 16 items. Exploratory factor analysis extracted two factors with a cumulative contribution of 62.245%. Two-dimensional structure (exhaustion and disengagement) was confirmed. It has good internal consistency (Cronbach's α coefficient values of 0.905, 0.933 and 0.876 for the total questionnaire, exhaustion dimension and disengagement dimension, respectively), split half reliability (split half coefficient = 0.883, p < .01) and criterion validity (r = 0.873, p < .01). Pearson coefficients between 16 items and the scale varied from 0.479-0.765. An acceptable model fit (χ2 /df = 2.49, RMSEA = 0.068, TLI = 0.906, CFI = 0.922, SRMR = 0.061) was achieved.
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