Aim: This study aims to develop a reliable and validate Chinese version of Oldenburg Burnout Inventory (OLBI).
Design: A cross-sectional validation design was adopted in this study.
Methods: 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.
Results: 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 (χ /df = 2.49, RMSEA = 0.068, TLI = 0.906, CFI = 0.922, SRMR = 0.061) was achieved.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685855 | PMC |
http://dx.doi.org/10.1002/nop2.1065 | DOI Listing |
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