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Book Cover
E-book
Author Hagenaars, Jacques A

Title Applied Latent Class Analysis
Published Cambridge ; New York : Cambridge University Press, 2002
New York : Cambridge University Press, 2002
©2002
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Description 1 online resource (478 pages)
Contents Cover -- Half-title -- Title -- Copyright -- Dedication -- Contents -- Contributors -- Preface -- INTRODUCTION -- ONE Latent Class Analysis -- 1. INTRODUCTION -- 2. THE LATENT CLASS MODEL -- 3. FIRST EXAMPLE: THE ANALYSIS OF THE RELATIONSHIP BETWEEN TWO OBSERVED VARIABLES -- 4. SECOND EXAMPLE: THE ANALYSIS OF THE RELATIONSHIPS AMONG FOUR OBSERVED VARIABLES -- 5. ANOTHER EXAMPLE: THE SIMPLE 2 × 2 CROSS-CLASSIFICATION TABLE REVISITED: A NINETEENTH-CENTURY LATENT STRUCTURE AND SOME… -- 6. SOME NOTES ON THE HISTORY OF LATENT CLASS ANALYSIS -- APPENDIX -- REFERENCES -- NOTES -- TWO Basic Concepts and Procedures in Single-and Multiple-Group Latent Class Analysis -- 1. PARAMETERIZATIONS OF THE BASIC LATENT CLASS MODEL -- A. Probabilistic Parameterization -- B. Loglinear Parameterization -- 2. MODEL ESTIMATION -- 3. MODEL EVALUATION -- 4. RESTRICTED LATENT CLASS MODELS -- A. Restricted Loglinear Models -- 5. MULTI-SAMPLE LATENT CLASS MODELS -- 6. CONCLUSION -- REFERENCES -- NOTES -- CLASSIFICATION AND MEASUREMENT -- THREE Latent Class Cluster Analysis -- 1. INTRODUCTION -- 2. CONTINUOUS INDICATOR VARIABLES -- 3. MIXED INDICATOR VARIABLES -- 4. COVARIATES -- 5. ESTIMATION -- 6. MODEL SELECTION -- 7. TWO EMPIRICAL EXAMPLES -- A. Diabetes Data -- B. Prostate Cancer Data -- 8. CONCLUSIONS -- REFERENCES -- FOUR Some Examples of Latent Budget Analysis and Its Extensions -- 1. INTRODUCTION -- 2. THE WORKS OF PLATO -- 3. ETHNIC DIFFERENCES AMONG PEOPLE STARTING A TRADE: AN EXAMPLE OF SIMULTANEOUS LATENT BUDGET ANALYSIS -- 4. SOCIAL MILIEU AND SECONDARY EDUCATION: AN EXAMPLE OF CONSTRAINED LATENT BUDGET ANALYSIS -- 5. CONCLUSIONS -- REFERENCES -- FIVE Ordering the Classes -- 1. INTRODUCTION -- A. The Problem of Ordering the Classes in Latent Class Analysis -- B. Some Previous Solutions -- C. What Is There to Come?
2. ORDERING THE CLASSES BY RESTRAINING RESPONSE PROBABILITIES -- A. Notation and Terminology -- B. Dichotomous Items -- C. Polytomous Items -- D. Estimating and Testing the Model -- E. OLCA and Regression Dependence -- F. OLCA and Latent Trait Models -- 3. ENVIRONMENTAL CONCERNS: AN APPLICATION OF ORDERED LATENT CLASS ANALYSIS -- A. The Data -- B. Separate Analyses for the Subscales -- C. A Joint Analysis for the Two Subscales -- D. A One-Dimensional Analysis for the Total Scale -- 4. MOKKEN SCALE ANALYSIS -- A. Scalogram Analysis: Deterministic and Probabilistic Formulations -- B. A Latent Class Formulation of the Double-Monotony Condition -- C. Estimating and Testing the Model -- 5. MOKKEN SCALE ANALYSIS OF RELIGIOUS BELIEFS -- A. The Data -- B. The Analyses -- 6. SOME RELATED WORK -- A. Monotonic Local and Adjacent Odds Ratios -- B. Ordered Classes with Nonmonotonic Items -- 7. DISCUSSION -- REFERENCES -- SIX Comparison and Choice -- 1. INTRODUCTION -- 2. LATENT CLASS MODELS FOR PICK ANY/J AND RANKING DATA -- 3. PICK ANY/J DATA -- A. Coombs' Unfolding Model -- B. Example Continued -- 4. INCOMPLETE AND PARTIAL RANKING DATA -- A. Paired Comparisons -- B. Incomplete Rankings -- 5. PARTY PREFERENCES IN GERMANY -- A. Results from Luce's Ranking Model -- B. Results from Unfolding Analysis -- 6. EXTENSIONS -- 7. CONCLUSION -- REFERENCES -- NOTE -- SEVEN Three-Parameter Linear Logistic Latent Class Analysis -- 1. INTRODUCTION -- 2. UNCONSTRAINED LATENT CLASS ANALYSIS -- 3. LINEAR LOGISTIC LATENT CLASS ANALYSIS -- 4. RASCH AND BIRNBAUM MODELS ASSUMING CONTINUOUS LATENT TRAITS -- 5. LATENT CLASS RASCH AND BIRNBAUM MODELS -- 6. PARAMETER ESTIMATION,GOODNESS OF FIT -- 7. NOTES ON IDENTIFIABILITY -- 8. EXAMPLE: GRADED PAIN STATUS -- 9. FINAL REMARKS -- REFERENCES -- CAUSAL ANALYSIS AND DYNAMIC MODELS
EIGHT Use of Categorical and Continuous Covariates in Latent Class Analysis -- 1. INTRODUCTION -- 2. MODELS WITH BLOCKING VARIABLES -- 3. EXEMPLARY ANALYSIS WITH BLOCKING VARIABLES -- 4. COVARIATE MODELS -- 5. EXEMPLARY ANALYSIS WITH COVARIATES -- 6. CONCLUSION -- REFERENCES -- NINE Directed Loglinear Modeling with Latent Variables -- 1. INTRODUCTION -- 2. LATENT CLASS MODELS FOR ORDERED DATA -- A. Standard Two-Latent-Variable Model -- B. Models for Ordered Data: Linear × Linear Association Models -- C. Models for Ordered Data: Linear × Nominal Association Models -- D. Interpretation of the Outcomes -- 3. DLM: DIRECTED LOGLINEAR MODELS WITH LATENT VARIABLES -- A. Causal Model with Latent Variables -- B. The Modified Path Approach and Directed Loglinear Modeling -- C. The Modified LISREL Approach and DLM with Latent Variables -- D. Application: Selecting Models -- E. Application: Interpreting Parameter Estimates -- 4. SYSTEMATIC, NONINDEPENDENT MISCLASSIFICATIONS -- 5. CONCLUSIONS -- REFERENCES -- NOTES -- TEN Latent Class Models for Longitudinal Data -- 1. STAGE-SEQUENTIAL MODELS AND LATENT CLASS THEORY -- 2. MORE THAN TWO TIMES AND SECOND-ORDER MODELS -- A. Empirical Example -- 3. METHODS -- A. Subjects and Measures -- B. Estimation -- C. Model 1 -- Parameter Restrictions -- Goodness of Fit -- Model Fit -- D. Model 2 -- E. Model 3 -- 4. DISCUSSION -- A. Substantive Results -- B. Latent Transition Analysis -- 5. CONCLUSIONS -- REFERENCES -- NOTE -- ELEVEN Latent Markov Chains -- 1. INTRODUCTION -- 2. THE LATENT MIXED MARKOV MODEL FOR SEVERAL GROUPS -- 3. THE SIMPLE MARKOV CHAIN -- 4. THE MIXED MARKOV MODEL -- 5. THE LATENT MARKOV MODEL -- 6. THE LATENT MIXED MARKOV MODEL -- 7. LATENT MIXED MARKOV MODELS FOR SEVERAL GROUPS -- 8. EXTENSIONS, PROBLEMS, AND SOME SOLUTIONS -- REFERENCES -- UNOBSERVED HETEROGENEITY AND NONRESPONSE
TWELVE A Latent Class Approach to Measuring the Fit of a Statistical Model -- 1. INTRODUCTION -- 2. DIFFICULTIES WITH CHI-SQUARED TESTS OF FIT -- 3. THE MIXTURE INDEX OF FIT -- 4. APPLICATIONS -- 5. GENERALIZATIONS TO OTHER STATISTICAL PROBLEMS -- ACKNOWLEDGMENTS -- APPENDIX: ALGORITHMS TO COMPUTE THE MIXTURE INDEX OF FIT Pi* -- REFERENCES -- THIRTEEN Mixture Regression Models -- 1. INTRODUCTION -- 2. FINITE MIXTURE MODELS -- A. Identification -- 3. MIXTURE REGRESSION MODELS -- A. Identification -- B. Application: Trade Show Performance -- 4. CONCOMITANT VARIABLE MIXTURE REGRESSION MODELS -- A. Identification -- B. Application: Conjoint Study on Banking -- 5. CONCLUSION -- REFERENCES -- FOURTEEN A General Latent Class Approach to Unobserved Heterogeneity in the Analysis of Event History Data Jeroen K.Vermunt -- 1. INTRODUCTION -- 2. EVENT HISTORY ANALYSIS -- A. Basic Concepts -- B. Loglinear Models for the Hazard Rate -- C. Censoring -- D. Time-Varying Covariates -- E. Multiple Risks -- F. Multivariate Hazard Models -- 3. DEALING WITH UNOBSERVED HETEROGENEITY -- A. Random-Effects Approach -- B. Fixed-Effects Approach -- C. General Nonparametric Random-Effects Approach -- 4. EXAMPLES -- A. Example I: First Interfirm Job Change -- B. Example II: First Experience with Relationships -- 5. FINAL REMARKS -- REFERENCES -- FIFTEEN Latent Class Models for Contingency Tables with Missing Data -- 1. INTRODUCTION -- 2. EXAMPLE 1: PRENATAL CARE AND INFANT MORTALITY -- 3. CONVENTIONAL APPROACHES TO MISSING DATA -- 4. LATENT CLASS MODELS -- 5. LOGLINEAR-LATENT CLASS MODELS FOR MISSING DATA -- 6. TYPES OF MISSING DATA MODELS -- A. MCAR Models -- B. MAR Models -- C. NINR Models -- 7. FITTING MISSING DATA MODELS TO INFANT MORTALITY DATA -- 8. EXAMPLE 2: INTERGENERATIONAL EDUCATIONAL MOBILITY -- 9. ESTIMATION AND IDENTIFICATION -- A. Estimation -- B. Identification
10. CONCLUSION -- REFERENCES -- NOTES -- Appendix A: Notational Conventions -- Appendix B: Further Readings -- A. INTRODUCTORY AND OVERVIEW WORKS -- B. HISTORICAL DEVELOPMENTS (CHRONOLOGICAL ORDER) -- C. MEASUREMENT -- D. CAUSAL MODELS -- E. UNOBSERVED HETEROGENEITY -- Appendix C: Selected Software -- Webpage -- WINMIRA -- PANMARK -- LATENTGOLD -- LEM -- MPLUS -- WINLTA -- GLIMMIX -- DNEWTON -- WEBPAGE -- Author Index -- Subject Index
Summary Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers
Notes Description based upon print version of record
ProQuest Ebook Central Rental
Bibliography Includes bibliographical references and indexes
Notes Description based on publisher supplied metadata and other sources
Subject Latent structure analysis
Latent variables
Form Electronic book
Author McCutcheon, Allan L
ProQuest (Firm)
LC no. 2001037649
ISBN 9781139145633 electronic bk
OTHER TI ProQuest Ebook Central