Composite-based structural equation modeling : analyzing latent and emergent variables /

Composite-based structural equation modeling : analyzing latent and emergent variables /

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Bibliographic Details
Author / Creator:	Henseler, Jörg, author.
Imprint:	New York, NY : The Guilford Press, a division of Guilford Publications, Inc., [2021] ©2021
Description:	1 online resource (xiv, 364 pages) : illustrations (some color).
Language:	English
Series:	Methodology in the social sciences Methodology in the social sciences.
Subject:	Structural equation modeling. Structural equation modeling
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/14141278

Hidden Bibliographic Details
ISBN:	1462545629 9781462545629 9781462545605 1462545602
Notes:	Includes bibliographical references and indexes. Print version record.
Summary:	"Structural equation modeling (SEM) has become an important element of the methodological toolbox of researchers in social and business science. Why another book on SEM? The answer is simple, but also somewhat surprising: They miss a valuable capability of SEM, namely the possibility to model, estimate, and test composite models. The present book rethinks SEM with regard to the employed auxiliary theory and lays the focus on composites. On the one hand, this book provides a full-fledged introduction to SEM, and covers all basic steps: model specification, model identification, model estimation, and model testing and assessment. On the other hand, it is a valuable reference for readers who have already a background in using SEM for factor models and who would like to learn more about the use of SEM for composite model. Finally, the book covers advanced topics that are useful for all analysts, for instance moderating effects, mediating effects, and higher-order constructs. Experienced users will find useful details, extensions, and clarifications"--
Other form:	Print version: Henseler, Jörg. Composite-based structural equation modeling. New York, NY : The Guilford Press, a division of Guilford Publications, Inc., [2021] 9781462545605

Description
Summary:	This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Jörg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importance-performance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides.<br> <br>
Physical Description:	1 online resource (xiv, 364 pages) : illustrations (some color).
Bibliography:	Includes bibliographical references and indexes.
ISBN:	1462545629 9781462545629 9781462545605 1462545602