Structural equation models are used by biologists, educational and medical researchers, psychologists, social scientists and others who traditionally deal with nonexperimental and quasi-experimental data. Perhaps the most important and influential statistical revolution to have recently occurred in the scientific arena, the development of structural equation models has provided researchers with a comprehensive method for the quantification and testing of theories. Accepted today as a major component of applied multivariate analysis, structural equation modelling includes latent variables,...

Presenting the latest theories in structural equation interaction modelling, this volume provides a complete overview of statistical concepts which focus on various interaction approaches. It is intended for researchers and practitioners in education and the social sciences. Topics include: modelling interaction using Mx software; estimating latent variable interactions and quadratics; and future directions and issues.

This volume provides a comprehensive presentation of the various procedures currently available for testing interaction and nonlinear effects in structural equation modeling. By focusing on various software applications, the reader should quickly be able to incorporate one of the procedures into testing interaction or nonlinear effects in their own model. Although every attempt is made to keep mathematical details to a minimum, it is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course which includes adequate coverage of structural equation...