类别变量的结构方程模型及其应用 |
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引用本文: | 王欢,韩海,蔡绍晖,梁巧,吴肖蒙,王波栋,张志敏,柳士顺. 类别变量的结构方程模型及其应用[J]. 中国卫生统计, 2012, 29(4): 522-524 |
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作者姓名: | 王欢 韩海 蔡绍晖 梁巧 吴肖蒙 王波栋 张志敏 柳士顺 |
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作者单位: | 1. 暨南大学药学院 510632 2. 暨南大学管理学院 510632 |
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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。
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关 键 词: | 结构方程模型 类别变量 生活方式 抑郁 焦虑 |
Structural Equation Model with Categorical Observed Variables and its Application |
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Affiliation: | Wang Huan,Han Hai,Cai Shaohui,et al.Jinan University(510632),Guangzhou |
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Abstract: | 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 equation model with categorical observed variables was applied to the data analysis.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. |
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Keywords: | Structural equation model(SEM) Categorical variable Lifestyle Depression Anxiety |
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