A primer on partial least squares structural equation modeling (PLS-SEM) / Joseph F. Hair, Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt.
By: Hair, Joseph F., Jr [author.]
Contributor(s): Hult, G. Tomas M [author.] | Ringle, Christian M [author.] | Sarstedt, Marko [author.]
Publisher: Los Angeles : SAGE, [2022]Edition: 3rd edDescription: xx, 363 p.: ill. (black and white) ; 23 cmISBN: 9783030805180Subject(s): Least squares | Structural equation modelingLOC classification: QA275 | .P88 2022Item type | Current location | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
Book | MILA University Central Library Reference | QA275 .P88 2022 (R) (Browse shelf) | Not For Loan | 0003402 | |
Book | MILA University Central Library General Stacks | QA275 .P88 2022 c.2 (Browse shelf) | Available | 0003403 |
Browsing MILA University Central Library Shelves , Shelving location: General Stacks Close shelf browser
QA273 .R82 2013 Simulation / | QA273 .R84 2014 Introduction to probability models / | QA273.25.S64 2013 Probability and Statistics : Schaum's Outlines / | QA275 .P88 2022 c.2 A primer on partial least squares structural equation modeling (PLS-SEM) / | QA276 .E39 1999 Survival models and data analysis | QA276 .E39 1999 c.2 Survival models and data analysis | QA276 .W477 2003 Applying contemporary statistical techniques / |
Includes bibliographical references (pages 327-351) and index.
An introduction to structural equation modeling -- Specifying the path model and examining data -- Path model estimation -- Assessing PLS-SEM results part I : evaluation of reflective measurement models -- Assessing PLS-SEM results part II : evaluation of the formative measurement models -- Assessing PLS-SEM results part III : evaluation of the structural model -- Mediator and moderator analysis -- Outlook on advanced methods.
"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 with limited emphasis on equations and symbols, instead, explaining the details in straightforward language. 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, distinctions between PLS-SEM and CB-SEM, use with secondary data, model fit and comparison, information on control variables, sample size calculations, and more"-- Provided by publisher.
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