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An Introduction to Latent Class Analysis

- Methods and Applications
Af: Nobuoki Eshima Engelsk Hardback

An Introduction to Latent Class Analysis

- Methods and Applications
Af: Nobuoki Eshima Engelsk Hardback
Tjek vores konkurrenters priser
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. 
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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. 
Produktdetaljer
Sprog: Engelsk
Sider: 190
ISBN-13: 9789811909719
Indbinding: Hardback
Udgave:
ISBN-10: 9811909717
Udg. Dato: 10 apr 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 10 apr 2022
Forfatter(e): Nobuoki Eshima
Forfatter(e) Nobuoki Eshima


Kategori Psykologiske tests og måling


ISBN-13 9789811909719


Sprog Engelsk


Indbinding Hardback


Sider 190


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 10 apr 2022


Oplagsdato 10 apr 2022


Forlag Springer Verlag, Singapore

Kategori sammenhænge