Applied Latent Class Analysis

doi:10.1017/CBO9780511499531

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Edited by Jacques A. Hagenaars, Universiteit van Tilburg, The Netherlands, Allan L. McCutcheon, University of Nebraska, Lincoln

Publisher:: Cambridge University Press
Online publication date:: July 2009
Print publication year:: 2002
Online ISBN:: 9780511499531
DOI:: https://doi.org/10.1017/CBO9780511499531

Subjects:: Political Theory, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Politics and International Relations, Sociology

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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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Applied Latent Class Analysis

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Contents

Frontmatter
pp i-vi

Contents
pp vii-viii

Contributors
pp ix-x

Preface
pp xi-xxii

INTRODUCTION
pp 1-2

1 - Latent Class Analysis: The Empirical Study of Latent Types, Latent Variables, and Latent Structures
pp 3-55

2 - Basic Concepts and Procedures in Single- and Multiple-Group Latent Class Analysis
pp 56-86

CLASSIFICATION AND MEASUREMENT
pp 87-88

3 - Latent Class Cluster Analysis
pp 89-106

4 - Some Examples of Latent Budget Analysis and Its Extensions
pp 107-136

5 - Ordering the Classes
pp 137-162

6 - Comparison and Choice: Analyzing Discrete Preference Data by Latent Class Scaling Models
pp 163-182

7 - Three-Parameter Linear Logistic Latent Class Analysis
pp 183-210

CAUSAL ANALYSIS AND DYNAMIC MODELS
pp 211-212

8 - Use of Categorical and Continuous Covariates in Latent Class Analysis
pp 213-233

9 - Directed Loglinear Modeling with Latent Variables: Causal Models for Categorical Data with Nonsystematic and Systematic Measurement Errors
pp 234-286

10 - Latent Class Models for Longitudinal Data
pp 287-303

11 - Latent Markov Chains
pp 304-342

UNOBSERVED HETEROGENEITY AND NONRESPONSE
pp 343-344

12 - A Latent Class Approach to Measuring the Fit of a Statistical Model
pp 345-365

13 - Mixture Regression Models
pp 366-382

14 - A General Latent Class Approach to Unobserved Heterogeneity in the Analysis of Event History Data
pp 383-407

15 - Latent Class Models for Contingency Tables with Missing Data
pp 408-432

Appendix A: Notational Conventions
pp 433-438

Appendix B: Further Readings
pp 439-441

Appendix C: Selected Software; Webpage
pp 442-444

Index
pp 445-454

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Applied Latent Class Analysis

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Contents

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