Interactive LISREL in Practice: Getting Started with a SIMPLIS Approach

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Springer Science & Business Media, Mar 28, 2011 - Mathematics - 90 pages

“Getting Started with a SIMPLIS Approach” is particularly appropriate for those users who are not experts in statistics, but have a basic understanding of multivariate analysis that would allow them to use this handbook as a good first foray into LISREL. Part I introduces the topic, presents the study that serves as the background for the explanation of matters, and provides the basis for Parts II and III, which, in turn, explain the process of estimation of the measurement model and the structural model, respectively. In each section, we also suggest essential literature to support the utilization of the handbook. After having read the book, readers will have acquired a basic knowledge of structural equation modeling, namely using the LISREL program, and will be prepared to continue with the learning process.

 

Selected pages

Contents

Part I Introduction and Preparation of the Analysis
2
Part II Assessment of Measurement Model
26
Part III Assessment of Structural Model
72
Appendix
87
Reference
90
Copyright

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Interactive LISREL in Practice: Getting Started with a SIMPLIS Approach
Armando Luis Vieira
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Common terms and phrases

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About the author (2011)

Armando Luís Vieira is an assistant professor at the University of Aveiro. He received his PhD in business and management from the Nottingham University Business School, UK, and his master’s degree in business studies from the Faculty of Economics of the University of Porto, Portugal. His research interests include relationship marketing, services management, tourism management, and structural equations modeling.

Bibliographic information

TitleInteractive LISREL in Practice: Getting Started with a SIMPLIS Approach
SpringerBriefs in Statistics
AuthorArmando Luis Vieira
PublisherSpringer Science & Business Media, 2011
ISBN3642180442, 9783642180446
Length90 pages
Subjects ›  › 

Business & Economics / Econometrics
Computers / Computer Simulation
Mathematics / Probability & Statistics / General
Mathematics / Probability & Statistics / Stochastic Processes
  
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