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 o...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Objectives Latent class trajectory modelling (LCTM) is a relatively new methodology in epidemiology ...
Introduction Several statistical methods are available to identify developmental trajectory classes,...
Researchers use latent class growth (LCG) analysis to detect meaningful subpopulations that display ...
Background: In statistics, tools have been developed to estimate individual change over time. Also, ...
BACKGROUND: In statistics, tools have been developed to estimate individual change over time. Also, ...
Longitudinal research studies with panel data are often applied to analyze processes of stability an...
The present paper proposes that Latent Class Growth Analysis (LCGA) can be used for the identificati...
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for a...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comp...
Latent class analysis (LCA) is a statistical method used to group individuals (cases, units) into cl...
Latent class analysis (LCA) is a statistical method used to group individuals (cases, units) into cl...
Motivated by the limited available literature on the treatment of longitudinal binary and ordinal ou...
Capturing the dynamics of adoption: A tutorial on Latent Curve Modeling Geared towards capturing cha...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Objectives Latent class trajectory modelling (LCTM) is a relatively new methodology in epidemiology ...
Introduction Several statistical methods are available to identify developmental trajectory classes,...
Researchers use latent class growth (LCG) analysis to detect meaningful subpopulations that display ...
Background: In statistics, tools have been developed to estimate individual change over time. Also, ...
BACKGROUND: In statistics, tools have been developed to estimate individual change over time. Also, ...
Longitudinal research studies with panel data are often applied to analyze processes of stability an...
The present paper proposes that Latent Class Growth Analysis (LCGA) can be used for the identificati...
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for a...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comp...
Latent class analysis (LCA) is a statistical method used to group individuals (cases, units) into cl...
Latent class analysis (LCA) is a statistical method used to group individuals (cases, units) into cl...
Motivated by the limited available literature on the treatment of longitudinal binary and ordinal ou...
Capturing the dynamics of adoption: A tutorial on Latent Curve Modeling Geared towards capturing cha...
An important limitation of conventional latent-growth modeling (LGM) is that it assumes that all ind...
Objectives Latent class trajectory modelling (LCTM) is a relatively new methodology in epidemiology ...
Introduction Several statistical methods are available to identify developmental trajectory classes,...