摘要
目的分析亚洲心血管病国际合作研究(international collaborative study of cardiovascular disease in ASIA,InterASIA)缺失值缺失机制,探索适合该资料的方便、有效、合理的填充方法。方法利用SPSS16.0软件,分析数据的缺失机制,分别采用期望最大化法和回归法对缺失数据进行填充。结果InterASIA资料缺失指标缺失率在0.1%～2.1%,缺失机制为随机缺失,年龄偏小的人指标缺失率更高;采用期望最大化法和回归法对缺失数据进行填充后各指标的算术均数、标准差以及线性回归模型中的回归系数及标准误与填充前各指标的取值非常接近。结论InterASIA资料缺失率低,其缺失机制为随机缺失,期望最大化法和回归法是方便、有效、合理的填充方法。
Objective To explore the corrected application of the structural equation model in the study of the relationship between personality and mental health among the medical college students. Methods The surveys were completed by 448 medical col/ege students by using SCL - 90 and Revised NEO Personality Inventory （ NEO - PI - R）. Exploratory factor analysis and structural equation model were used to analyze the relationship between personality and mental health. Results All of path coefficients, load coefficients and other parameters are statistically significant. Conclusion Certain criteria and applied conditions should be followed when structural equation model is applied, and it provides a theoretical basis and specialized conclusion for the research.
出处
《中国卫生统计》
CSCD
北大核心
2009年第4期367-369,373,共4页
Chinese Journal of Health Statistics
