文章摘要
宋秋月,伍亚舟.纵向数据潜变量增长曲线模型及其在Mplus中的实现[J].中华流行病学杂志,2017,38(8):1132-1135
纵向数据潜变量增长曲线模型及其在Mplus中的实现
The latent variable growth curve model of longitudinal data and its implementation in Mplus
投稿时间:2016-12-21  
DOI:10.3760/cma.j.issn.0254-6450.2017.08.027
中文关键词: 纵向数据;潜变量增长曲线模型;Mplus软件
英文关键词: Longitudinal data;Latent variable growth curve model;Mplus
基金项目:国家自然科学基金(81573254)
作者单位E-mail
宋秋月 400038 重庆, 第三军医大学军事预防医学系卫生统计学教研室  
伍亚舟 400038 重庆, 第三军医大学军事预防医学系卫生统计学教研室 asiawu5@sina.com 
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中文摘要:
      探讨纵向数据潜变量增长曲线模型及其在Mplus中的实现方法。通过实例采用Mplus软件处理某高校大学生心理健康状况纵向数据。结果表明潜变量增长曲线模型可以处理含有潜变量的纵向数据,能够比较总体发展趋势和个体发展的差异,纳入协变量可以提高模型拟合效果;采用Mplus软件实现潜变量增长曲线模型,程序简单,操作方便。纵向数据潜变量增长曲线模型及其在Mplus中的实现程序,可为实际应用尤其是流行病学队列研究提供统计方法学方面的指导和参考。
英文摘要:
      To discuss the latent variable growth curve model of longitudinal data and give its implementation method in Mplus. The application of Mplus software has been used to deal with the longitudinal data of mental health status of college students in an university. Results show that the model can process the longitudinal data with latent variables, which can compare the differences of the overall development trend and individual development, also taking a covariate into the model to improve the effect of model fitting. Using Mplus software to process the longitudinal data with latent variables, the program is simple and easy to operate. This study provides the latent variable growth curve model of longitudinal data and its procedure of implementation in Mplus, and the statistical methodology guidance and reference for practical applications of epidemiological cohort study.
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