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 Author: Bartholomew, David J.
Other Authors: Knott, M. (Martin), Moustaki, Irini
Format: Electronic eBook
Language:English
Published: Hoboken, N.J. : Wiley, 2011.
Edition:3rd ed. /
Series:Wiley series in probability and statistics.
Subjects:
Online Access: Full text (Emmanuel users only)
Table of 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.