Latent Class Growth Modelling: A Tutorial
Université de Rouen Normandie · University of Ottawa · +2 more institutions
Abstract
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.…
Citation impact
- FWCI
- 6.31
- Percentile
- 100%
- References
- 20
Authors
5- HAHeather AndruffCorresponding
Université de Rouen Normandie, University of Ottawa
- NCNatasha Carraro
University of Ottawa, Université de Rouen Normandie
- ALAmanda L. Thompson
Université de Rouen Normandie, University of Ottawa
- PGPatrick Gaudreau
University of Ottawa, Wilfrid Laurier University
- BLBenoît Louvet
Centre d’études des transformations des activités physiques et sportives
Topics & keywords
- Class (philosophy)
- Computer science
- Artificial intelligence