Latent variable models and factor analysis a unified approach.
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples....
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Main Authors: | |
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Group Author: | ; |
Published: |
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Literature type: | Electronic eBook |
Language: | English |
Edition: | 3rd ed. / |
Series: |
Wiley series in probability and statistics
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Subjects: | |
Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9781119970583 |
Summary: |
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book:Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Pre |
Carrier Form: | 1 online resource (xiii, 277 pages) : illustrations. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781119970583 (electronic bk.) 111997058X (electronic bk.) 9781119970590 (electronic bk.) 1119970598 (electronic bk.) |
Index Number: | QA278 |
CLC: | O212.4 |
Contents: |
Front matter -- Basic ideas and examples -- The general linear latent variable model -- The normal linear factor model -- Binary data : latent trait models -- Polytomous data : latent trait models -- Latent class models -- Models and methods for manifest variables of mixed type -- Relationships between latent variables -- Related techniques for investigating dependency -- Software appendix -- References -- Author index -- Subject index. |