隐变量通径分析及医学心理学应用

PATH ANALYSIS OF LATENT VARIABLES AND ITS APPLICATION TO MEDICAL PSYCHOLOGY.

目的:阐述隐变量通径分析的原理,进一步探讨大学生人际关系敏感影响因素的合理通径模型。方法:借助SAS8.0软件包CALIS过程,采用隐变量通径分析对大学生人际关系敏感的数据进行拟合,建立相应的结构模型与测量模型,分解了影响因素对人际关系敏感的直接和间接效应;对参数进行合理性检验和对模型进行显著性检验。结果:拟合优度指数(GFI)为0.995 2,调整的拟合优度指数(AGFI)为0.913 3,均方根残差(RMR)为0.020 0等指标表明,较好地拟合了数据,并合理解释了大学生人际关系敏感的影响因素。结论:对人际关系敏感产生直接效应的影响因素从大到小依次为社交苦恼回避、状态特质焦虑、应对方式倾向等变量。

Objective： To explore path analysis of latent variables and to create path analysis modal of the influence factors of the interpersonal relationship sensitity in the college students. Methods： Using the CALLS procedure of SAS 8.0 software, the data in the field of factors of the interpersonal relationship sensitivity in the college students were fitted by path analysis modeling. A path di agram was created and interpretation was gave in statistics and psychology. Results： The study fits the data of factors of interpersonal rdationship sensitity by path analysis. The goodness of fit index of the model （GFI） was 0,9952, adjustive goodness of fit index of the modal （AGFI） was 0.9133, Root Mean Square Residual （RMR） was 0,0200. These suggested that the fitting effect of the model was good. Reasonable interpretations of path analysis modal was gave in statistics and psychology. Conclusion： The major factors which directly influence the interpersonal relationship sensitivity are SAD, STAI, TCSQ.