You are here

In observance of the 2024 holiday season, Sage offices will be closed Monday December 23rd through Wednesday January 1st. Normal operations, including shipping for orders placed during the closure, will resume on Thursday January 2nd. For technical support during this time, please visit our technical support page for assistance options. 

We wish you a wonderful holiday season. Thank you. 

C. Mitchell Dayton University of Maryland, USA

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.