Applied latent class analysis / edited by Jacques A. Hagenaars, Allan L. McCutcheon.

Format:

Book

Contributor:

Hagenaars, Jacques A., editor.

McCutcheon, Allan L., 1950- editor.

Language:

English

Subjects (All):

Latent structure analysis.

Latent variables.

Physical Description:

1 online resource (xxii, 454 pages) : digital, PDF file(s).

Edition:

1st ed.

Place of Publication:

Cambridge : Cambridge University Press, 2002.

Language Note:

English

Summary:

Applied Latent Class Analysis introduces several 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 contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.

Contents:

Preface / Jacques A. Hagenaars and Allan L. McCutcheon

1. Latent Class Analysis: The Empirical Study of Latent Types, Latent Variables, and Latent Structures / Leo A. Goodman

2. Basic Concepts and Procedures in Single- and Multiple-Group Latent Class Analysis / Allan L. McCutcheon

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: Analyzing Discrete Preference Data by Latent Class Scaling Models / Ulf Bockenholt

7. Three-Parameter Linear Logistic Latent Class Analysis / Anton K. Formann and Thomas Kohlmann

8. Use of Categorical and Continuous Covariates in Latent Class Analysis / C. Mitchell Dayton and George B. Macready

9. Directed Loglinear Modeling with Latent Variables: Causal Models for Categorical Data with Nonsystematic and Systematic Measurement Errors / 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

12. A Latent Class Approach to Measuring the Fit of a Statistical Model / Tamas Rudas

13. Mixture Regression Models / Michel 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.

Notes:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Includes bibliographical references and indexes.

ISBN:

1-107-12755-6

1-280-41726-9

9786610417261

1-139-14563-0

0-511-18067-5

0-511-06594-9

0-511-05963-9

0-511-32640-8

0-511-49953-1

0-511-06807-7

OCLC:

70753838