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Latent Class Scaling Analysis
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Latent Class Scaling Analysis

Volume: 126
January 1999 | 104 pages | SAGE Publications, Inc
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With empirical examples which are both plentiful and well chosen to teach the technique, this book provides a thorough guide to latent class scaling models for binary response variables. Substantive illustrations include a survey on academic cheating, children's mastery of spatial tasks, medical diagnosis of lung disease, attitudes toward the Army and behaviour during role conflict. The computer programs for latent class analysis are carefully reviewed and a website is offered for keeping abreast of the latest developments. This book will be of particular interest to those doing detailed scale analysis in psychology, sociology and education.
 
Introduction and Overview
 
Latent Class Models
 
Extreme-Types Models
 
Linear Scales
 
Joint Scales
 
Multiple Groups Analysis
 
Concomitant-Variable Models

C. Mitchell Dayton

Chan Dayton is a Professor Emeritus and past Chair in the Department of Measurement & Statistics. For more than 20 years, he has pursued a research interest in latent class analysis which is a specialized field within the realm of discrete mixture models. In 1999, he published a Sage book dealing with latent class scaling models. Recently, he has focused on model comparison procedures with a special interest in approaches based on information theory and Bayes factors. In particular, he has been working on an innovative alternative to pairwise comparison procedures such as Tukey test. His research has appeared in journals such as The... More About Author

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ISBN: 9780761913238
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