The latent variable growth curve model of longitudinal data and its implementation in Mplus

VernacularTitle:纵向数据潜变量增长曲线模型及其在Mplus中的实现
Author: Qiuyue SONG ¹ ; Yazhou WU
Author Information

1. 第三军医大学军事预防医学系卫生统计学教研室
Keywords: Longitudinal data; Latent variable growth curve model; Mplus
From: Chinese Journal of Epidemiology 2017;38(8):1132-1135
CountryChina
Language:Chinese
Abstract: 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.