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类别变量的结构方程模型及其应用 被引量:6

Structural Equation Model with Categorical Observed Variables and its Application
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摘要 目的探讨类别变量的结构方程在实际问题中的应用。方法运用LISREL软件中的类别变量分析技术,对452个关于生活方式与健康的调查样本进行了结构方程模型分析。结果量表中反映生活方式的8个条目一致地聚合为生活方式这一潜在因子,此因子与抑郁和焦虑呈现显著负相关关系,表明生活方式越健康产生精神障碍的几率就越低。结论观测变量的类型是结构方程建模必须予以重视的关键要素之一。 Objective To explore the techniques of using structural equation model with categorical observed variables in substantive research. Methods Data were collected from 452 subjects using lifestyle and a 4-item measure of depression and anxiety questionnaire. Structural e- quation model with categorical observed variables was applied to the data a- nalysis. Results All 8 lifestyle-related indicators pointed to one factor called lifestyle, which significantly correlated to depression and anxiety. Conclusion Variable types deserve more attention in the applications of structural equation model.
出处 《中国卫生统计》 CSCD 北大核心 2012年第4期522-524,共3页 Chinese Journal of Health Statistics
基金 国家自然科学基金项目(30973565)
关键词 结构方程模型 类别变量 生活方式 抑郁 焦虑 Structural equation model (SEM) Categori- cal variable Lifestyle Depression Anxiety
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