Overview
- First book to present SEM development in historical context
- Surveys new techniques for path analysis along with guidelines for data preparation, sample size calculation and the special treatment of Likert scale data
- Shows how machine intelligence and social network intelligence are expanding the networks that can be modeled with SEM methods
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 22)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This compact reference surveys the full range of available structural equation modeling (SEM) methodologies. It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable. This is the first book to present SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that will grow importance in the near future. SEM’s ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.
Authors and Affiliations
Bibliographic Information
Book Title: Structural Equation Models
Book Subtitle: From Paths to Networks
Authors: J. Christopher Westland
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-16507-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-38631-7Published: 17 October 2016
eBook ISBN: 978-3-319-16507-3Published: 25 April 2015
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: IX, 175
Number of Illustrations: 15 b/w illustrations, 32 illustrations in colour
Topics: Computational Intelligence, Statistics for Social Sciences, Humanities, Law, Applications of Graph Theory and Complex Networks, Innovation/Technology Management, Psychometrics, Geoengineering, Foundations, Hydraulics