Applied Latent Class Analysis
$44.99 (C)
- Editors:
- Jacques A. Hagenaars, Universiteit van Tilburg, The Netherlands
- Allan L. McCutcheon, University of Nebraska, Lincoln
- Date Published: March 2009
- availability: Available
- format: Paperback
- isbn: 9780521104050
$
44.99
(C)
Paperback
Other available formats:
Hardback, eBook
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.
-
This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis have contributed essays to the volume, each presenting a key innovation to the basic LCM and illustrating how it can prove useful in situations typically encountered in actual research.
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: March 2009
- format: Paperback
- isbn: 9780521104050
- length: 480 pages
- dimensions: 229 x 152 x 27 mm
- weight: 0.7kg
- contains: 34 b/w illus. 118 tables
- availability: Available
Table of Contents
Preface Jacques A. Hagenaars and Allan L. McCutcheon
Part I. Introduction:
1. Latent class analysis Leo A. Goodman
2. Basic concepts and procedures in singe- and multiple-group latent class analysis Allan L. McCutcheon
Part II. Classification and Measurement:
3. Latent class cluster analysis Jeroen K. Vermunt and Jay Magidson
4. Some examples of latent budget analysis and its extensions Peter G. M. van der Heijden, L. Andries van der Ark and Ab Mooijaart
5. Ordering the classes Marcel Croon
6. Comparison and choice Ulf Bockenholt
7. Three-parameter linear logistic latent class analysis Anton K. Formann and Thomas Kohlmann
Part III. 8. Use of categorical and continuous covariates in latent class analysis C. Mitchell Dayton and George B. Macready
9. Directed loglinear modelling with latent variables Jacques A. Hagenaars
10. Latent class models for longitudinal data Linda M. Collins and Brian P. Flaherty
11. Latent markov chains Rolf Langeheine and Frank van de Pol
Part IV. Unobserved heterogeneity and non-response:
12. A latent class approach to measuring the fit of a statistical model Tamas Rudas
13. Mixture regression models Michael Wedel and Wayne S. DeSarbo
14. A general latent class approach to unobserved heterogeneity in the analysis of event history data Jeroen K. Vermunt
15. Latent class models for contingency tables with missing data Christopher Winship, Robert D. Mare and John Robert Warren
Appendices
Index.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×