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Applied Latent Class Analysis

£45.99

Jacques A. Hagenaars, Allan L. McCutcheon, Leo A. Goodman, Jeroen K. Vermunt, Jay Magidson, Peter G. M. van der Heijden, L. Andries van der Ark, Ab Mooijaart, Marcel Croon, Ulf Bockenholt, Anton K. Formann, Thomas Kohlmann, C. Mitchell Dayton, George B. Macready, Linda M. Collins, Brian P. Flaherty, Rolf Langeheine, Frank van de Pol, Tamas Rudas, Michael Wedel, Wayne S. DeSarbo, Jeroen K. Vermunt, Christopher Winship, Robert D. Mare, John Robert Warren
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  • Date Published: March 2009
  • availability: Available
  • format: Paperback
  • isbn: 9780521104050

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  • Applied Latent Class Analysis introduces several 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 contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.

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    Product details

    • Date Published: March 2009
    • format: Paperback
    • isbn: 9780521104050
    • length: 480 pages
    • dimensions: 229 x 152 x 27 mm
    • weight: 0.7kg
    • contains: 34 b/w illus. 118 tables
    • availability: Available
  • Table of Contents

    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.

  • Editors

    Jacques A. Hagenaars, Universiteit van Tilburg, The Netherlands

    Allan L. McCutcheon, University of Nebraska, Lincoln

    Contributors

    Jacques A. Hagenaars, Allan L. McCutcheon, Leo A. Goodman, Jeroen K. Vermunt, Jay Magidson, Peter G. M. van der Heijden, L. Andries van der Ark, Ab Mooijaart, Marcel Croon, Ulf Bockenholt, Anton K. Formann, Thomas Kohlmann, C. Mitchell Dayton, George B. Macready, Linda M. Collins, Brian P. Flaherty, Rolf Langeheine, Frank van de Pol, Tamas Rudas, Michael Wedel, Wayne S. DeSarbo, Jeroen K. Vermunt, Christopher Winship, Robert D. Mare, John Robert Warren

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