Dayton C.M. Latent Class Scaling Analysis

Philadelphia: SAGE Publications, Inc, 1999. — 107 p. — ISBN: 0-7610-1323-8.Filled with well-chosen empirical examples 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 behavior 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
The General Model
Estimating Parameters
Assessing the Fit of Models to Data
A Note on Notation
Extreme-Types Models
Saturated Models
Cheating Data Example
Estimating the π Measure of Fit
Estimating Standard Errors
Classifying Respondents
Validation
Mixture-Binomial Model
Linear ScalesModels with Response Errors
Clinical Scale Example
Extended Models
Lazarsfeld-Toby Data Example
Latent Distance Models
Latent Markov Models
Other Scaling Models
Repetitive Patterns
Joint ScalesBiform and Multiform Scales
IEA Bus Data
Multiple Groups Analysis
Multiple-Group Extreme-Types Model
Multiple-Group Analysis of the Cheating Data
Significance Tests for Individual Parameters
Partial Homogeneity
Multiple-Group Scaling Models
Additional Considerations
Concomitant-Variable Models
The Concomitant-Variable Latent Class Model
Parameter Estimation
Cheating Data Example
Mixture-Binomial Concomitant-Variable Latent Class Model
Notes