Interaction and Nonlinear Effects in Structural Equation Modeling

<p>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 modeling. This book will be of interest to researchers and practitioners in education and the social sciences.</p> <p>Contents: Preface. E.E. Rigdon, R.E. Schumacker, W. Wothke, A Comparative Review of Interaction and Nonlinear Modeling. F.Y. Jonsson, Modeling Interaction and Nonlinear Effects: A Step-by-Step LISREL Example. M.C. Neale, Modeling Interaction and Nonlinear Effects With Mx: A General Approach. R.A. Ping, Jr., EQS and LISREL Examples Using Survey Data. P.K. Wood, D.J. Erikson, Estimating Interaction and Nonlinear Effects With SAS. K.A. Bollen, P. Paxton, Two-Stage Least Squares Estimation of Interaction Effects. F. Li, P. Harmer, Modeling Interaction Effects: A Two-Stage Least Squares Example. R.L. Tate, Effect Decomposition in Interaction and Nonlinear Models. B. Laplante, S. Sabourin, L-G. Cournoyer, J. Wright, Estimating Nonlinear Effects Using a Structured Means Intercept Approach. K. Schermelleh-Engel, A. Klein, H. Moosbrugger, Estimating Nonlinear Effects Using a Latent Moderated Structural Equations Approach. K.G. Jöreskog, Interaction and Nonlinear Modeling: Issues and Approaches.</p>