Latent variable models and factor analysis : a unified approach.

• Main Author: Bartholomew, David J.
• Other Authors: Knott, M. (Martin), Moustaki, Irini
• Format: eBook
• Language: English
• Published: Hoboken, N.J. : Wiley, 2011.
• Edition: 3rd ed. /
• Series: Wiley series in probability and statistics.
• Subjects: Latent variables.; Latent structure analysis.; Factor analysis.; MATHEMATICS > Probability & Statistics > Multivariate Analysis.; Electronic books.

 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. Presen. 

 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.