Structural Equation Modeling (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
448
Utgivningsdatum
2003-06-01
Upplaga
illustrated ed
Förlag
Information Age Publishing
Medarbetare
Serlin, Ron (University Of Wisconsin, Usa) (red.)
Illustrationer
1, black & white illustrations
Dimensioner
234 x 156 x 23 mm
Vikt
622 g
Antal komponenter
1
Komponenter
Paperback
ISBN
9781593110147

Structural Equation Modeling

A Second Course

av Gregory R Hancock, Ralph O Mueller
Häftad,  Engelska, 2003-06-01
1094
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Serves as a resource covering a range of advanced topics on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM. The chapters of this book focus on the explanation and application of topics, and contain syntax and partial output files from popular SEM software.
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Gregory R Hancock, Ralph O Mueller

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"I believe that this volume represents a vital contribution to the field of SEM beyond the introductory level." From the Preface by Richard G. Lomax, The University of Alabama"

Innehållsförteckning

Introduction to Series, Ronald C. Serlin; Preface, Richard G. Lomax; Dedication; Acknowledgements; Introduction, Gregory R. Hancock & Ralph O. Mueller; Part I: Foundations; The Problem of Equivalent Structural Models, Scott L. Hershberger; Formative Measurement and Feedback Loops, Rex B. Kline; Power Analysis in Covariance Structure Modeling, Gregory R. Hancock; Part II: Extensions; Evaluating Between-Group Differences in Latent Variable Means, Marilyn S. Thompson & Samuel B. Green; Using Latent Growth Models to Evaluate Longitudinal Change, Gregory R. Hancock & Frank R. Lawrence; Mean and Covariance Structure Mixture Models, Phill Gagne; Structural Equation Models of Latent Interaction and Quadratic Effects, Herbert W. Marsh, Zhonglin Wen, & Kit-Tai Hau; Part III: Assumptions; Nonnormal and Categorical Data in Structural Equation Modeling, Sara J. Finney & Christine DiStefano; Analyzing Structural Equation Models with Missing Data, Craig K. Enders; Using Multilevel Structural Equation Modeling Techniques with Complex Sample Data, Laura M. Stapleton; The Use of Monte Carlo Studies in Structural Equation Modeling Research, Deborah L. Bandalos; About the Authors.

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