Hair, Joseph F. <br/><br/>
A primer on partial least squares structural equations modeling (PLS-SEM) 

 - 3rd 
 - Los Angeles  Sage Publications, Inc.  2021 
 - xx, 363 p. 
<br/><br/>Table of content<br/><br/>Preface<br/> <br/>About the Authors<br/>  Chapter 1. An Introduction to Structural Equation Modeling <br/>Chapter Preview<br/> <br/>What Is Structural Equation Modeling?<br/> <br/>Considerations in Using Structural Equation Modeling<br/> <br/>Principles of Structural Equation Modeling<br/> <br/>PLS-SEM, CB-SEM, and Regressions Based on Sum Scores<br/> <br/>Considerations When Applying PLS-SEM<br/> <br/>Guidelines for Choosing Between PLS-SEM and CB-SEM<br/> <br/>Organization of Remaining Chapters<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/>  Chapter 2. Specifying the Path Model and Examining Data <br/>Chapter Preview<br/> <br/>Stage 1: Specifying the Structural Model<br/> <br/>Stage 2: Specifying the Measurement Models<br/> <br/>Stage 3: Data Collection and Examination<br/> <br/>Case Study Illustration—Specifying the PLS-SEM Model<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/>  Chapter 3. Path Model Estimation <br/>Chapter Preview<br/> <br/>Stage 4: Model Estimation and the PLS-SEM Algorithm<br/> <br/>Case Study Illustration—PLS Path Model Estimation (Stage 4)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/>  Chapter 4. Assessing PLS-SEM Results—Part I: Evaluation of the Reflective Measurement Models <br/>Chapter Preview<br/> <br/>Overview of Stage 5: Evaluation of Measurement Models<br/> <br/>Stage 5a: Assessing Results of Reflective Measurement Models<br/> <br/>Case Study Illustration—Evaluation of the Reflective Measurement Models (Stage 5a)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/>  Chapter 5. Assessing PLS-SEM Results—Part II: Evaluation of the Formative Measurement Models <br/>Chapter Preview<br/> <br/>Stage 5b: Assessing Results of Formative Measurement Models<br/> <br/>Case Study Illustration—Evaluation of the Formative Measurement Models (Stage 5b)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/>  Chapter 6. Assessing PLS-SEM Results—Part III: Evaluation of the Structural Model <br/>Chapter Preview<br/> <br/>Stage 6: Structural Model Results Evaluation<br/> <br/>Case Study Illustration—Evaluation of the Structural Model (Stage 6)<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/>  Chapter 7. Mediator and Moderator Analysis <br/>Chapter Preview<br/> <br/>Mediation<br/> <br/>Moderation<br/> <br/>Case Study Illustration—Moderation<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/>  Chapter 8. Outlook on Advanced Methods <br/>Chapter Preview<br/> <br/>Importance-Performance Map Analysis<br/> <br/>Necessary Condition Analysis<br/> <br/>Higher-Order Constructs<br/> <br/>Confirmatory Tetrad Analysis<br/> <br/>Examining Endogeneity<br/> <br/>Treating Observed and Unobserved Heterogeneity<br/> <br/>Measurement Model Invariance<br/> <br/>Consistent PLS-SEM<br/> <br/>Summary<br/> <br/>Review Questions<br/> <br/>Critical Thinking Questions<br/> <br/>Key Terms<br/> <br/>Suggested Readings<br/> <br/> <br/>Glossary<br/> <br/>References<br/> <br/>Index<br/><br/><br/>Purchasing options<br/>Please select a format:<br/><br/><br/>Paperback<br/>ISBN: 9781544396408<br/>$45.00<br/>Order from:<br/>Buy from SAGE<br/>Amazon<br/>FlipKart<br/>Related Products<br/>Advanced Issues in Partial Least Squares Structural Equation Modeling<br/>Advanced Issues in Partial Least Squares Structural Equation Modeling<br/> 
<br/><br/> The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity. <br/><br/><br/><br/> 
<br/><br/><label>ISBN: </label>9781544396408 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Structural equation modeling<br/>Least squares
<br/><br/><label>Dewey Class. No.: </label>511.42  / HAI