中国保险从业人员简明症状量表-18的心理测量特性及测量不变性
Psychometric Properties and Measurement Invariance of the Brief Symptom Inventory-18 Among Chinese Insurance Employees.
作者信息
Li Mingshu, Wang Meng-Cheng, Shou Yiyun, Zhong Chuxian, Ren Fen, Zhang Xintong, Yang Wendeng
机构信息
Department of Psychology, Guangzhou University, Guangzhou, China.
The Center for Psychometrics and Latent Variable Modeling, Guangzhou University, Guangzhou, China.
出版信息
Front Psychol. 2018 Apr 18;9:519. doi: 10.3389/fpsyg.2018.00519. eCollection 2018.
Abstract
This study aimed to examine the psychometric properties and factorial invariance of the Brief Symptom Inventory-18 (BSI-18). Confirmatory factor analyses (CFAs) were performed to verify the BSI-18's factor structure in a large sample of Chinese insurance professionals ( = 2363, 62.7% women; age range = 19-70). Multigroup CFA were performed to test the measurement invariance of the model with the best fit across genders. In addition, structural equation modeling was conducted to test the correlations between the BSI-18 and two covariates - social support perception and grit trait. Results indicated that the bi-factor model best fit the data and was also equivalent across genders. The BSI-18's general factor, and somatization and depression dimensions were significantly related to social support perception and grit trait, whereas the anxiety dimension was not. Overall, our findings suggested that the BSI-18's can be a promising tool in assessing general psychological distress in Chinese employees.
摘要
本研究旨在检验简明症状量表-18（BSI-18）的心理测量特性和因素不变性。进行了验证性因素分析（CFA），以在大量中国保险专业人员样本（n = 2363，62.7%为女性；年龄范围 = 19 - 70岁）中验证BSI-18的因素结构。进行多组CFA以测试该模型在不同性别间具有最佳拟合度时的测量不变性。此外，进行了结构方程建模，以测试BSI-18与两个协变量——社会支持感知和毅力特质之间的相关性。结果表明，双因素模型最适合数据，并且在不同性别间也是等效的。BSI-18的一般因素以及躯体化和抑郁维度与社会支持感知和毅力特质显著相关，而焦虑维度则不然。总体而言，我们的研究结果表明，BSI-18可能是评估中国员工一般心理困扰的一个有前景的工具。
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