Add to ORKGChange is the main issue when panel data are collected. This paper focuses on latent class analysis as a means to represent the regularities in such repeated measurements of the same objects. It does so without adding any novelty to the extensive methodological literature. The emphasis is rather on facilitating the application of these methods. We will elaborate on the questions of a student (Mannan, 2001) who recently finalised a paper on smoking behaviour that relies heavily on latent class analysis
One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comp...
The technique of latent class analysis relies on a number of model assumptions which might be violat...
In the field of both education and psychology, if future situations are thought to be related to the...
Change is the main issue when panel data are collected. This paper focuses on latent class analysis ...
'In der vorliegenden Arbeit wird das statistische Modell der Analyse latenter Klassen nach der Param...
This article describes the general time-intensive longitudinal latent class modeling framework imple...
It has been established that measures and reports of smoking behaviours are subject to substantial m...
"Preface Latent Markov models represent an important class of latent variable models for the analysi...
In latent class analysis it is assumed that each observation comes from one of a number of classes (...
Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and stati...
It has been established that measures and reports of smoking behaviours are subject to substantial m...
1This paper (chapter) reports the results of research and analysis undertaken by Census Bureau staff...
This halfday short course introduces the concept of latent class analysis, which is a model-based st...
Cross-sectional latent class regression models, also known as switching regressions or hidden Markov...
In this article, we introduce the general statistical analysis approach known as latent class analys...
One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comp...
The technique of latent class analysis relies on a number of model assumptions which might be violat...
In the field of both education and psychology, if future situations are thought to be related to the...
Change is the main issue when panel data are collected. This paper focuses on latent class analysis ...
'In der vorliegenden Arbeit wird das statistische Modell der Analyse latenter Klassen nach der Param...
This article describes the general time-intensive longitudinal latent class modeling framework imple...
It has been established that measures and reports of smoking behaviours are subject to substantial m...
"Preface Latent Markov models represent an important class of latent variable models for the analysi...
In latent class analysis it is assumed that each observation comes from one of a number of classes (...
Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and stati...
It has been established that measures and reports of smoking behaviours are subject to substantial m...
1This paper (chapter) reports the results of research and analysis undertaken by Census Bureau staff...
This halfday short course introduces the concept of latent class analysis, which is a model-based st...
Cross-sectional latent class regression models, also known as switching regressions or hidden Markov...
In this article, we introduce the general statistical analysis approach known as latent class analys...
One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comp...
The technique of latent class analysis relies on a number of model assumptions which might be violat...
In the field of both education and psychology, if future situations are thought to be related to the...