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Structural Equation Modeling: A Second Course
Author(s) -
Gregory R. Hancock,
Ralph O. Mueller
Publication year - 2007
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.2007.00081_13.x
Subject(s) - structural equation modeling , citation , psychology , course (navigation) , computer science , world wide web , physics , astronomy , machine learning
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.