Latent Variable Models and Factor Analysis
A Unified Approach
- 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.
296 pages; ISBN 9781119973706
, or download in or
Title: Latent Variable Models and Factor Analysis
Author: David J. Bartholomew; Martin Knott; Irini Moustaki
The Foundations of Mathematics 2015 US$ 23.99 416 pages
A Gentle Introduction to Optimization 2014 US$ 32.00 284 pages