An Introduction to Latent Class Analysis: Methods and Applications

Author:   Nobuoki Eshima
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2022
Volume:   14
ISBN:  

9789811909719


Pages:   190
Publication Date:   10 April 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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An Introduction to Latent Class Analysis: Methods and Applications


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Author:   Nobuoki Eshima
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
Edition:   1st ed. 2022
Volume:   14
Weight:   0.477kg
ISBN:  

9789811909719


ISBN 10:   9811909717
Pages:   190
Publication Date:   10 April 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Overview of Basic Latent Structure Models.- Latent Class Cluster Analysis.- Latent Class Analysis with Ordered Latent Classes.- Latent Class Analysis with Latent Binary Variables: Application for Analyzing Learning Structures.- The Latent Markov Chain Model.- Mixed Latent Markov Chain Models.- Path Analysis in Latent Class Models.

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Author Information

Nobuoki Eshima was born in Fukuoka, Japan, in 1957. He was received B.Sc. and D.Sc. degrees in Mathematics from Kyushu University, Fukuoka, Japan, in 1980 and 1993, respectively. In 1993, he joined Department of Statistics, Faculty of General Education, Nagasaki University, as Associate Professor. In 1996, he joined Department of Medical Information Analysis, Faculty of Medicine, Oita Medical University, as Professor. In 2016, he joined Center for Educational Outreach and Admissions, Kyoto University, as Professor. In 2021, he was granted the title of Emeritus Professor of Oita University, and from 2021, he is Guest Professor of Faculty of Medicine, Kurume University.

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