验证性因子分析及应用  

Confirmatory Factor Analysis and its Application

作　　者：赵铁牛[1] 王泓午[1] 刘桂芬[2] 

机构地区：[1]天津中医药大学中医学院公共卫生教研室,300193 [2]山西医科大学卫生统计教研室

出　　处：《中国卫生统计》2010年第6期608-609,共2页Chinese Journal of Health Statistics

基　　金：国家科技部支撑计划课题(2006BAI13B05)

摘　　要：目的探讨验证性因子分析模型估计的基本原理及应用。方法借助SAS9.0软件包的CALIS过程,采用广义最小二乘法证实因子模型的科学性和合理性。结果采用探索性因子分析抽出3个因子,累计贡献率为62.53%;并对其验证和比较,得出模型M3拟合效果较好。结论探索性因子分析可以抽出公因子,但不能合理解释因子间存在的联系,而验证性因子分析可以弥补其不足,采用两种因子分析相结合的方法得到合理的因子模型。Objective：The purpose was to explore the basic principle and application of the estimation of confirmatory factor analysis model.Methods：With the CALIS procedure of SAS 9.0 software,the scientific and reasonable model was confirmed using the generalized least squares estimation of confirmatory factor analysis.Results：Three factors were extracted using exploratory factor analysis,the cumulative contribution of the first 3 factors was 62.53%.After the models were confirmed by confirmatory factor analysis,it proved that the fitting results of the model M3 are better by comparison.Conclusion：The factors are extracted using exploratory factor analysis,but the connections of the factors can not be explained reasonably.Confirmatory factor analysis can redeem the defect,so reasonable factor model is got by using the method of combining confirmatory factor analysis with exploratory factor analysis.

关 键 词：探索性因子分析 验证性因子分析 广义最小二乘法 

分 类 号：R311[医药卫生—基础医学]