Applied Latent Class Analysis

ISBN: 9780521104050 出版年：2002 页码：478 Jacques A Hagenaars Allan L McCutcheon Cambridge University Press

Preface Jacques A. Hagenaars and Allan L. McCutcheon Part I. Introduction: 1. Latent class analysis Leo A. Goodman 2. Basic concepts and procedures in singe- and multiple-group latent class analysis Allan L. McCutcheon Part II. 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, L. Andries van der Ark and Ab Mooijaart 5. Ordering the classes Marcel Croon 6. Comparison and choice Ulf Bockenholt 7. Three-parameter linear logistic latent class analysis Anton K. Formann and Thomas Kohlmann Part III. 8. Use of categorical and continuous covariates in latent class analysis C. Mitchell Dayton and George B. Macready 9. Directed loglinear modelling with latent variables 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 Part IV. Unobserved heterogeneity and non-response: 12. A latent class approach to measuring the fit of a statistical model Tamas Rudas 13. Mixture regression models Michael 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 Appendices Index.