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A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) de Christian M. Ringle

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

Autor Christian M. Ringle, G. Tomas M. Hult, Joe Hair, Marko Sarstedt
en Limba Engleză Paperback – 19 mai 2016
The authors explain the statistical modeling technique and the fundamental aspects of the methods in a straightforward manner that is accessible to individuals with limited statistical and mathematical training. They clarify the nature and role of PLS-SEM in social sciences research that allows researchers to pursue research in new and different ways. In order to facilitate learning, a single case study has been used throughout the book. 

Changes in the 2nd edition include:

  • an overview of the latest research on composite-based modelling
  • more coverage of the distinction between PLS-SEM and CB-SEM
  • introduction of a new criterion for discrimination validity assessment
  • revision and extension of the chapter on mediation
  • extended description of moderation
  • a brief introduction to some more advanced techniques
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Specificații

ISBN-13: 9781483377445
ISBN-10: 148337744X
Pagini: 384
Dimensiuni: 154 x 229 x 22 mm
Greutate: 0.56 kg
Ediția:2 Revised edition
Editura: Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

“A text that students will find easy to read and enjoyable.”

Cuprins

Chapter 1: An Introduction to Structural Equation Modeling
What Is Structural Equation Modeling?
Considerations in Using Structural Equation Modeling
Structural Equation Modeling With Partial Least Squares Path Modeling
PLS-SEM, CB-SEM, and Regressions Based on Sum Scores
Organization of Remaining Chapters
Chapter 2: Specifying the Path Model and Examining Data
Stage 1: Specifying the Structural Model
Stage 2: Specifying the Measurement Models
Stage 3: Data Collection and Examination
Case Study Illustration: Specifying the PLS-SEM Model
Path Model Creation Using the SmartPLS Software
Chapter 3: Path Model Estimation
Stage 4: Model Estimation and the PLS-SEM Algorithm
Case Study Illustration: PLS Path Model Estimation (Stage 4)
Chapter 4: Assessing PLS-SEM Results Part I: Evaluation of Reflective Measurement Models
Overview of Stage 5: Evaluation of Measurement Models
Stage 5a: Assessing Results of Reflective Measurement Models
Case Study Illustration—Reflective Measurement Models
Running the PLS-SEM Algorithm
Reflective Measurement Model Evaluation
Chapter 5: Assessing PLS-SEM Results Part II: Evaluation of the Formative Measurement Models
Stage 5b: Assessing Results of Formative Measurement Models
Bootstrapping Procedure
Bootstrap Confidence Intervals
Case Study Illustration—Evaluation of Formative Measurement Models
Chapter 6: Assessing PLS-SEM Results Part III: Evaluation of the Structural Model
Stage 6: Assessing PLS-SEM Structural Model Results
Case Study Illustration—How Are PLS-SEM Structural Model Results Reported?
Chapter 7: Mediator and Moderator Analysis
Mediation
Moderation
Chapter 8: Outlook on Advanced Methods
Importance-Performance Map Analysis
Hierarchical Component Models
Confirmatory Tetrad Analysis
Dealing With Observed and Unobserved Heterogeneity
Consistent Partial Least Squares

Notă biografică

Joseph F. Hair, Jr. is Cleverdon Chair of Business, and Director of the PhD Degree in Business Administration, Mitchell College of Business, University of South Alabama. He previously held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. Joe was recognized by Clarivate Analytics in 2018, 2019 and 2020 for being in the top 1% globally of all Business and Economics professors based on his citations and scholarly accomplishments, which exceed 238,000 over his career.   He has authored more than 75 books, including Multivariate Data Analysis (8th edition, 2019) (cited 140,000+ times), MKTG (13th edition, 2020), Essentials of Business Research Methods (2020), and Essentials of Marketing Research (4th edition, 2020). He also has published numerous articles in scholarly journals and was recognized as the Academy of Marketing Science Marketing Educator of the Year. A popular guest speaker, Professor Hair often presents seminars on research techniques, multivariate data analysis, and marketing issues for organizations in Europe, Australia, China, India, and South America. He has a new book on Marketing Analytics, forthcoming in 2021 (McGraw-Hill).

Descriere

Written with those with limited mathematical and statistical knowledge in mind, this concise and practical guide helps researchers to do their research in new and alternative ways.