Reviews:
'A very elegant and original treatment of latent variable
models, which brings a relatively unfamiliar topic firmly
into the mainstream of statistical theory. Comprehensive and
up-to-date...this book should appeal to newcomer and old hand
alike.' Short Book Reviews, (International Statistical
Institute)
' An attractive and well-printed book...excellent and the
re-working of the original monograph has been highly worthwhile.'
Statistical Methods in Medical Research Journal
'Overall, this is a well-written book which achieves the authors'aims.
It is an excellent source of reference for the topics covered.'
Biometrics
'The book is very well written and has a strong practical
emphasis with many numerical examples. The fact that all the
basic ideas and models are introduced in one book makes it
very useful indeed.' Statistics in Medicine
Key Features:
- Written by leading experts in this field
- Extended to include structural relations models and other
new research areas
- Researchers can apply the ideas using free software
- Strong practical emphasis; examples based on real data.
Description:
Among the increasing number of branches of multivariate statistical
analysis, latent variable models have an important place in
providing a framework for reducing data from large-scale statistical
enquiries to manageable proportions. Since the first edition
of this book in 1987 there has been a surge of interest in
latent variable methods, particularly in the social sciences.
This second edition has been completely revised but the prime
object of the book remains the same. It provides a unified
and coherent treatment of the field from a statistical perspective.
Numerical examples are provided and where necessary, software
to carry them out is also available.
Readership:
Postgraduate statisticians and psychology researchers.
Contents:
Preface
Software and data
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
Bibliography
Author index
Subject index
* Please note that Arnold is not responsible for any damage
to equipment, loss of profits or any economic loss arising
from use, inability to use or any defect in this software.
The material included in this file is copyrighted to DJ Bartholomew
and M Knott and is not for further distribution without the
permission of the publishers.
Should you have any problems or questions regarding the downloading
of this software, or related procedures, please do not hesitate
to contact us at reference@hodder.co.uk
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