About this product

Product Identifiers

PublisherSAGE Publications, Incorporated

ISBN-101544396406

ISBN-139781544396408

eBay Product ID (ePID)25050396925

Product Key Features

Number of Pages384 Pages

Publication NameA Primer on Partial Least Squares Structural Equation Modeling (Pls-Sem)

LanguageEnglish

SubjectGeneral, Statistics

Publication Year2021

TypeTextbook

AuthorChristian M. Ringle, G. Tomas M. Hult, Joseph F. Hair, Marko Sarstedt

Subject AreaMathematics, Social Science, Education, Business & Economics

FormatTrade Paperback

Dimensions

Item Height0.8 in

Item Weight19 Oz

Item Length9 in

Item Width6 in

Additional Product Features

Edition Number3

Intended AudienceCollege Audience

LCCN2021-004786

IllustratedYes

Table Of ContentPrefaceAbout the AuthorsChapter 1. An Introduction to Structural Equation Modeling Chapter Preview What Is Structural Equation Modeling? Considerations in Using Structural Equation Modeling Principles of Structural Equation Modeling PLS-SEM, CB-SEM, and Regressions Based on Sum Scores Considerations When Applying PLS-SEM Guidelines for Choosing Between PLS-SEM and CB-SEM Organization of Remaining Chapters Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsChapter 2. Specifying the Path Model and Examining Data Chapter Preview 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 Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsChapter 3. Path Model Estimation Chapter Preview Stage 4: Model Estimation and the PLS-SEM Algorithm Case Study Illustration--PLS Path Model Estimation (Stage 4) Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsChapter 4. Assessing PLS-SEM Results--Part I: Evaluation of the Reflective Measurement Models Chapter Preview Overview of Stage 5: Evaluation of Measurement Models Stage 5a: Assessing Results of Reflective Measurement Models Case Study Illustration--Evaluation of the Reflective Measurement Models (Stage 5a) Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsChapter 5. Assessing PLS-SEM Results--Part II: Evaluation of the Formative Measurement Models Chapter Preview Stage 5b: Assessing Results of Formative Measurement Models Case Study Illustration--Evaluation of the Formative Measurement Models (Stage 5b) Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsChapter 6. Assessing PLS-SEM Results--Part III: Evaluation of the Structural Model Chapter Preview Stage 6: Structural Model Results Evaluation Case Study Illustration--Evaluation of the Structural Model (Stage 6) Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsChapter 7. Mediator and Moderator Analysis Chapter Preview Mediation Moderation Case Study Illustration--Moderation Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsChapter 8. Outlook on Advanced Methods Chapter Preview Importance-Performance Map Analysis Necessary Condition Analysis Higher-Order Constructs Confirmatory Tetrad Analysis Examining Endogeneity Treating Observed and Unobserved Heterogeneity Measurement Model Invariance Consistent PLS-SEM Summary Review Questions Critical Thinking Questions Key Terms Suggested ReadingsGlossaryReferencesIndex

SynopsisFounded in 1965, SAGE is a leading independent academic and professional publisher of innovative, high-quality content. Known for our commitment to quality and innovation, SAGE has helped inform and educate a global community of scholars, practitioners, researchers, and students across a broad range of subject areas. Book jacket., 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., 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. The authors use their teaching experience to communicate the fundamentals of PLS-SEM with limited emphasis on equations and and symbols, relying on straightforward language instead.

LC Classification NumberQA275.P88 2022