
eBook - ePub
Latent Variable Models and Factor Analysis
A Unified Approach
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Latent Variable Models and Factor Analysis
A Unified Approach
About this book
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.
- Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency.
- Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples.
- Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous.
No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.
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Yes, you can access Latent Variable Models and Factor Analysis by David J. Bartholomew,Martin Knott,Irini Moustaki in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- WILEY SERIES IN PROBABILITY AND STATISTICS
- Title Page
- Copyright
- Preface
- Acknowledgements
- 1: Basic ideas and examples
- 2: The general linear latent variable model
- 3: The normal linear factor model
- 4: Binary data: latent trait models
- 5: Polytomous data: latent trait models
- 6: Latent class models
- 7: Models and methods for manifest variables of mixed type
- 8: Relationships between latent variables
- 9: Related techniques for investigating dependency
- Software appendix
- References
- Author Index
- Subject Index