Table of 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.