Applied Latent Class Analysis

1. Latent class analysis: the empirical study of latent types, latent variables, and latent structures, and some notes on the history of this subject Leo A. Goodman
2. Basic concepts and procedures in single and multiple group latent class analysis Allan L. McCutcheon
Part I. 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, 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 Böckenholt
7. Three-parameter linear logistic latent class analysis Anton K. Formann and Thomas Kohlmann
Part II. Causal Analysis and Dynamic Models:
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 der Pol
Part III. Unobserved Heterogeneity and Nonresponse:
12. A latent class approach for measuring the fit of a statistical model Tamás 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.