Latent Class Growth Modelling: A Tutorial

被引：499

作者：

Andruff, Heather ^{[1
]}

Carraro, Natasha ^{[1
]}

Thompson, Amanda ^{[1
]}

Gaudreau, Patrick ^{[1
]}

Louvet, Benoit ^{[2
]}

机构：

[1] Univ Ottawa, Sch Psychol, 145 Jean Jacques Lussier St, Ottawa, ON K1N 6N5, Canada

[2] Univ Rouen, Dept Sport & Educ Phys, Rouen, France

来源：

TUTORIALS IN QUANTITATIVE METHODS FOR PSYCHOLOGY | 2009年 / 5卷 / 01期

关键词：

Stastitics; Latent class;

D O I：

10.20982/tqmp.05.1.p011

中图分类号：

学科分类号：

摘要：

The present work is an introduction to Latent Class Growth Modelling (LCGM). LCGM is a semi-parametric statistical technique used to analyze longitudinal data. It is used when the data follows a pattern of change in which both the strength and the direction of the relationship between the independent and dependent variables differ across cases. The analysis identifies distinct subgroups of individuals following a distinct pattern of change over age or time on a variable of interest. The aim of the present tutorial is to introduce readers to LCGM and provide a concrete example of how the analysis can be performed using a real-world data set and the SAS software package with accompanying PROC TRAJ application. The advantages and limitations of this technique are also discussed.

引用

页码：11 / 24

页数：14

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