top banner top banner
index
RegularArticles
ReplicationStudies
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications:

Latent Class Growth Modelling: A Tutorial

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.05.1.p011

Andruff, Heather , Carraro, Natasha , Thompson, Amanda , Gaudreau, Patrick , Louvet, BenoƮt
11-24
Keywords: Stastitics , Latent class
(no sample data)   (no appendix)

There has been an erratum in volume 9(1)

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.


Pages © TQMP;
Template last modified: 2017-16-01.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS