Contact us on (02) 8445 2300
For all customer service and order enquiries

Woodslane Online Catalogues

9780761913238 Academic Inspection Copy

Latent Class Scaling Analysis

Description
Author
Biography
Table of
Contents
Reviews
Google
Preview
The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children''s mastery of spatial tasks; medical diagnosis of lung disease.'
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 Journal of The American Statistical Association, Psychometrika, American Statistician, Multivariate Behavioral Research, Applied Psychological Measurement, Journal of Educational and Behavioral Statistics, British Journal of Mathematical and Statistical Psychology, Psychological Methods, and Journal of Educational Measurement.
Introduction and Overview Latent Class Models Extreme-Types Models Linear Scales Joint Scales Multiple Groups Analysis Concomitant-Variable Models
Google Preview content