Applied Latent Class Analysis

Cover\r......Page 1
Contents\r......Page 9
Contributors\r......Page 11
Preface\r......Page 13
Introduction\r......Page 25
1. Latent class analysis: the empirical study of latent types, latent variables, and latent structures\r......Page 27
2. Basic concepts and procedures in single- and multiple-group latent class analysis\r......Page 80
Classification and measurement\r......Page 111
3. Latent class cluster analysis\r......Page 113
4. Some examples of latent budget analysis and its extensions\r......Page 131
5. Ordering the classes\r......Page 161
6. Comparison and choice: analyzing discrete preference data by latent class scaling models\r......Page 187
7. Three-parameter linear logistic latent class analysis\r......Page 207
Causal analysis and dynamic models\r......Page 235
8. Use of categorical and continuous covariates in latent class analysis\r......Page 237
9. Directed loglinear modeling with latent variables: causal models for categorical data with nonsystematic and systematic measurement errors\r......Page 258
10. Latent class models for longitudinal data\r......Page 311
11. Latent Markov chains\r......Page 328
Unobserved heterogeneity and nonresponse\r......Page 367
12. A latent class approach to measuring the fit of a statistical model\r......Page 369
13. Mixture regression models\r......Page 390
14. A general latent class approach to unobserved heterogeneity in the analysis of event history data\r......Page 407
15. Latent class models for contingency tables with missing data\r......Page 432
Appendix a: notational conventions\r......Page 457
Appendix b: further readings\r......Page 463
Appendix c: selected software; webpage\r......Page 466
Author index\r......Page 469
Subject index\r......Page 474