Interaction and Nonlinear Effects in Structural Equation Modeling

ISBN-13: 9780805829501 / Angielski / Twarda / 1998 / 276 str.

Randall E. Schumacker;George A. Marcoulides;Randall E. Schumacker

Opis

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 modeling. This book will be of interest to researchers and practitioners in education and the social sciences.

Recenzje

"The research presented in this book represents one step farther than most SEM researchers have gone before, and this book makes a useful contribution to this literature."
—Contemporary Psychology

"...the book is highly motivating and thus exciting. There is a great deal of creativity present here, and satisfactory creativity at that....This is a book that will be valued for its depth rather than its breadth by a host of SEM researchers and students."
—Structural Equation Modeling

Spis treści

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.

O autorze

Randall E. Schumacker