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Structural Equation Modeling - A Second Course (Paperback, Second Edition)
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Structural Equation Modeling - A Second Course (Paperback, Second Edition)
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This volume is the second edition of Hancock and Mueller's
highly-successful 2006 volume, with all of the original chapters
updated as well as four new chapters. The second edition, like the
first, is intended to serve as a didactically-oriented resource for
graduate students and research professionals, covering a broad
range of advanced topics often not discussed in introductory
courses on structural equation modeling (SEM). Such topics are
important in furthering the understanding of foundations and
assumptions underlying SEM as well as in exploring SEM, as a
potential tool to address new types of research questions that
might not have arisen during a first course. Chapters focus on the
clear explanation and application of topics, rather than on
analytical derivations, and contain materials from popular SEM
software. "This book represents a significant updating and
expansion of Hancock and Mueller's excellent first edition that
explores a variety of topics not typically covered in introductory
SEM courses. The second edition is again characterized by the
substantial strengths of the original text including a clearly
articulated didactic presentation style and a cohesive voice that
connects each chapter to the next. This revised edition not only
incorporates comprehensive updates to the original material but
also includes the addition of a number of wholly new chapters
covering important and contemporary topics including partial least
squares estimation, conditional process modeling, exploratory SEM,
and Bayesian estimation. Taken together, this is an indispensable
resource for both beginner and advanced users of SEM across the
social and behavioral sciences; I recommend it highly." -- Patrick
J. Curran, University of North Carolina at Chapel Hill
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