Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Structural Equation Models

From Paths to Networks
BuchKartoniert, Paperback
149 Seiten
Englisch
Springererschienen am25.09.20202. Aufl.
This new edition surveys the full range of available structural equation modeling (SEM) methodologies. 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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR85,59
BuchKartoniert, Paperback
EUR171,19
BuchGebunden
EUR171,19
E-BookPDF1 - PDF WatermarkE-Book
EUR85,59
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

KlappentextThis new edition surveys the full range of available structural equation modeling (SEM) methodologies. 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.
Details
ISBN/GTIN978-3-030-12510-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2020
Erscheinungsdatum25.09.2020
Auflage2. Aufl.
ReiheStudies in Systems, Decision and Control
Seiten149 Seiten
SpracheEnglisch
IllustrationenIX, 149 p. 36 illus., 18 illus. in color.
Artikel-Nr.49020138

Inhalt/Kritik

Inhaltsverzeichnis
Chapter1. An Introduction to Structural Equation Models.- Chapter2. Partial Least Squares Path Analysis.- Chapter3. Full-information Covariance SEM.- Chapter4. Systems of Regression Equations.- Chapter5. Data Collection, Control and Sample Size.- Chapter6. Survey and Questionnaire Data.- Chapter7. Research Structure and Paradigms.- Chapter8. Frontiers in Latent Variable Analysis.mehr

Schlagworte

Autor

J. Christopher Westland is Professor in the Department of Information & Decision Sciences at the University of Illinois - Chicago. He has a BA in Statistics and an MBA in Accounting from Indiana University and received his PhD in Computers and Information Systems from the University of Michigan. He has professional experience in the US as a certified public accountant and as a consultant in technology law in the US, Europe, Latin America and Asia. He has authored numerous academic papers and seven books: Global Electronic Commerce (MIT Press 2000); Global Innovation Management (Palgrave Macmillan 2nd ed 2017); Red Wired: China's Internet Revolution (Marshall Cavendish, 2010); Structural Equation Modeling (Springer 2015); Financial Dynamics (Wiley 2003); Valuing Technology (Wiley 2002) and Statistical Auditing with R (forthcoming 2018). He is the Editor-in-Chief of Electronic Commerce Research (Springer) and has served on editorialboards of several other information technology journals including Management Science, ISR, ECRA, IJEC, and others. He has served on the faculties at the University of Michigan, University of Southern California, Hong Kong University of Science and Technology, Tsinghua University, University of Science and Technology of China, Harbin Institute of Technology and other academic institutions. In 2012 he received High-Level Foreign Expert status in China under the 1000-Talents Plan and he is currently Overseas Chair Professor at Beihang University. He has advised on patent, valuation and technology strategy for numerous technology firms.