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  2. Psykologisk metodologi
  3. Psykologiske tests og måling

An Introduction to Latent Class Analysis

- Methods and Applications
Af: Nobuoki Eshima Engelsk Paperback

An Introduction to Latent Class Analysis

- Methods and Applications
Af: Nobuoki Eshima Engelsk Paperback
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. 

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 190
ISBN-13: 9789811909740
Indbinding: Paperback
Udgave:
ISBN-10: 9811909741
Kategori: Psykologiske tests og måling
Udg. Dato: 11 apr 2023
Længde: 12mm
Bredde: 156mm
Højde: 233mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 11 apr 2023
Forfatter(e): Nobuoki Eshima
Forfatter(e) Nobuoki Eshima

Kategori Psykologiske tests og måling

ISBN-13 9789811909740

Sprog Engelsk

Indbinding Paperback

Sider 190

Udgave

Længde 12mm

Bredde 156mm

Højde 233mm

Udg. Dato 11 apr 2023

Oplagsdato 11 apr 2023

Forlag Springer Verlag, Singapore

Kategori sammenhænge