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

Contributor(s): Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, 2002.Description: 1 online resource (xxii, 454 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0511065949
  • 9780511065941
  • 0511068077
  • 9780511068072
  • 0511059639
  • 9780511059636
  • 9780511499531
  • 0511499531
  • 1280417269
  • 9781280417269
  • 0521594510
  • 9780521594516
  • 1107127556
  • 9781107127555
  • 9786610417261
  • 6610417261
  • 1139145630
  • 9781139145633
  • 0511180675
  • 9780511180675
  • 0511326408
  • 9780511326400
Subject(s): Genre/Form: Additional physical formats: Print version:: Applied latent class analysis.DDC classification:
  • 519.5/35 21
LOC classification:
  • QA278.6 .A67 2002eb
Other classification:
  • 31.73
  • 70.03
  • MR 2100
  • QH 234
  • QH 200
  • SKL 980
Online resources:
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.
Summary: Applied Latent Class Analysis 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 this volume, each presenting a key innovation to the basic LCM.
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Includes bibliographical references and indexes.

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.

Applied Latent Class Analysis 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 this volume, each presenting a key innovation to the basic LCM.

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English.

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