Applied Latent Class Analysis

, by Edited by Jacques A. Hagenaars , Allan L. McCutcheon

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ISBN: 9780521104050 | 052110405X
Cover: Paperback
Copyright: 3/19/2009

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This study introduces several recent 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 have contributed essays to the volume, each presenting a key innovation to the basic LCM and illustrating how it can prove useful in situations typically encountered in actual research.

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Preface
Introduction
Latent class analysis
Basic concepts and procedures in singe- and multiple-group latent class analysis
Classification and Measurement
Latent class cluster analysis
Some examples of latent budget analysis and its extensions
Ordering the classes
Comparison and choice
Three-parameter linear logistic latent class analysis

Use of categorical and continuous covariates in latent class analysis
Directed loglinear modelling with latent variables
Latent class models for longitudinal data
Latent markov chains
Unobserved heterogeneity and non-response
A latent class approach to measuring the fit of a statistical model
Mixture regression models
A general latent class approach to unobserved heterogeneity in the analysis of event history data
Latent class models for contingency tables with missing data
Appendices
Index
Table of Contents provided by Publisher. All Rights Reserved.

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Applied Latent Class Analysis

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Table of Contents

Supplemental Materials