Advanced Structural Equation Modeling

Advanced Structural Equation Modeling : Issues and Techniques

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By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate level multivariate statistics, including an introduction to SEM.
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Product details

  • Paperback | 374 pages
  • 152 x 229 x 19.81mm | 690g
  • Psychology Press Ltd
  • Hove, United Kingdom
  • English
  • Reprint
  • 1138966045
  • 9781138966048

Table of contents

Contents: G.A. Marcoulides, R.E. Schumacker, Introduction. W. Wothke, Models for Multitrait-Multimethod Matrix Analysis. K.G. Joereskog, F. Yang, Nonlinear Structural Equation Models: The Kenny-Judd Model With Interaction Effects. J.J. McArdle, F. Hamagami, Multilevel Models From a Multiple Group Structural Equation Perspective. J.B. Willett, A.G. Sayer, Cross-Domain Analyses of Change Over Time: Combining Growth Modeling and Covariance Structure Analysis. S.L. Hershberger, P.C.M. Molenaar, S.E. Corneal, A Hierarchy of Univariate and Multivariate Structural Times Series Models. Y-F. Yung, P.M. Bentler, Bootstrapping Techniques in Analysis of Mean and Covariance Structures. K.A. Bollen, A Limited-Information Estimator for LISREL Models With or Without Heteroscedastic Errors. J.L. Arbuckle, Full Information Estimation in the Presence of Incomplete Data. L.J. Williams, H. Bozdogan, L. Aiman-Smith, Inference Problems With Equivalent Models. H.W. Marsh, J.R. Balla, K-T. Hau, An Evaluation of Incremental Fit Indices: A Clarification of Mathematical and Empirical Properties.
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