论文部分内容阅读
目的:编制士兵训练倦怠自评问卷,并对其信度、效度进行验证。方法:随机整群抽取968名士兵为研究对象,分A(485名)、B(483名)两个组。用编制的士兵训练倦怠自评问卷对两组数据进行测查。A组进行探索性因素分析和相关分析,B组进行验证性因素分析。结果:经检验,问卷Cronbach’sα系数为0.778,各因子的Cronbach’sα系数范围0.670~0.721;问卷的折半信度为0.754,各维度间的折半系数为0.654~0.680。问卷维度间相关系数0.312~0.486(P<0.01),各维度与问卷总分间相关系数为0.663~0.785(P<0.01)。经探索性因素分析和验证性因素分析发现,问卷结构和理论模型与新兵训练倦怠自评问卷一致,问卷的一阶三因素模型(χ2/df=3.548,GFI=0.959、AGFI=0.938、NFI=0.911、CFI=0.934、IFI=0.934、RMSEA=0.058)拟合效果比较理想。问卷总分及3个维度与职业倦怠总分及各维度呈显著正相关(P<0.01)。结论:士兵训练倦怠自评问卷具有较好的信效度,可以作为训练倦怠测查工具使用。
OBJECTIVE: To compile a self-assessment questionnaire for soldiers training burnout and to verify its reliability and validity. Methods: A total of 968 soldiers were randomized into two groups: A (485) and B (483). Two sets of data were tested with self-assessment questionnaire of trained soldiers burnout. A group of exploratory factor analysis and related analysis, B group for confirmatory factor analysis. Results: The Cronbach’s alpha coefficient of the questionnaire was 0.778, and the Cronbach’s α coefficient of each factor ranged from 0.670 to 0.721. The half-reliability of the questionnaire was 0.754, and the half-coefficient between all the dimensions was 0.654-0.680. The correlation coefficient between the dimensions of the questionnaire was 0.312 ~ 0.486 (P <0.01). The correlation coefficient between each dimension and the total questionnaire was 0.663 ~ 0.785 (P <0.01). The results of exploratory factor analysis and confirmatory factor analysis showed that the questionnaire structure and theoretical model were consistent with recruiting burnout self-assessment questionnaire. The first-order three-factor model (χ2 / df = 3.548, GFI = 0.959, AGFI = 0.938, NFI = 0.911, CFI = 0.934, IFI = 0.934, RMSEA = 0.058). The questionnaire total score and 3 dimensions were significantly and positively correlated with the total score of job burnout and each dimension (P <0.01). Conclusion: The self-assessment questionnaire of soldiers training burnout has a good reliability and validity and can be used as a training burnout inspection tool.