(sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, co-edited by Ann A. O’Connell, Ed.D., and D. Betsy McCoach, Ph.D.,

Multilevel Analysis of Educational Data Bayesian methods Empirical Bayes Generalized least squares Profile likelihoods E-M algorithm Fisher scoring procedures B

The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming

This book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets. Al

Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less math