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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Bibliographic Details
Main Authors: Bartholomew, David J
Group Author: Knott, M. Martin; Moustaki, Irini
Published:
Literature type: Electronic eBook
Language: English
Edition: 3rd ed. /
Series: Wiley series in probability and statistics
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.