Hancock (measurement, statistics, and evaluation, U. of Maryland) and Mueller (educational research, public policy, and public administration, George Washington U.) offer a volume to go along with introductory textbooks on structural equation modeling for the teaching of statistics in the social sciences. They bring together 12 chapters in which foundations not usually included in these texts are discussed--equivalent models, reverse arrow dynamics, and power analysis--as well as advanced topics such as latent variable means, latent growth, mixture, and nonlinear models. The final section deals with non-normal and categorical data, missing and multi-level data, and simulation studies. Contributors are internationally based and in fields such as statistics, educational psychology, and psychology. No index is supplied. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)
