Téléchargez le livre : An Introduction to Latent Class Analysis

An Introduction to Latent Class Analysis

Methods and Applications de

Éditeur :

Springer


Collection :

Behaviormetrics: Quantitative Approaches to Human Behavior

Paru le : 2022-04-09

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Description

This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models. The maximum likelihood estimation procedures for latent class models are constructed via the expectation–maximization (EM) algorithm, and along with it, latent profile and latent trait models are also treated. Entropy-based discussions for latent class models are given as advanced approaches, for example, comparison of latent classes in a latent class cluster model, assessing latent class models, path analysis, and so on. In observing human behaviors and responses to various stimuli and test items, it is valid to assume they are dominated by certain factors. This book plays a significant role in introducing latent structure analysis to not only young researchers and students studying behavioral sciences, but also to those investigating other fields of scientific research. 
Pages
190 pages
Collection
Behaviormetrics: Quantitative Approaches to Human Behavior
Parution
2022-04-09
Marque
Springer
EAN papier
9789811909719
EAN PDF
9789811909726
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
2406 Ko
Prix
116,04 €
EAN EPUB
9789811909726
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
14469 Ko
Prix
116,04 €

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