A primer on partial least squares structural equation modeling (PLS-SEM) / Joseph F. Hair ...[et al.]
Material type: TextPublication details: Los Angeles : SAGE, 2022.Edition: Third editionDescription: xx, 363 pages: illustrations ; 23 cmISBN:- 9781544396408
- QA275 .P88 2022
Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|
Main Short | Martin Oduor-Otieno Library This item is located on the library ground floor | Non-fiction | QA275 .P88 2022 (Browse shelf(Opens below)) | 31434/23 | Available | MOOL23090005 |
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QA274 .K836 2011 Introduction to modeling and analysis of stochastic systems / | QA274.2 .D87 1996 Stochastic calculus : a practical introduction / | QA274.5 .J3776 2018 Continuous-Time Asset Pricing Theory : A Martingale-Based Approach / | QA275 .P88 2022 A primer on partial least squares structural equation modeling (PLS-SEM) / | QA276 .C37 1990 Statistical inference / | QA276 .D59 1983 Introduction to statistical modelling / | QA276 .K79 2013 Applied predictive modeling / |
Includes bibliographical references (pages 327-351) and index.
"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"--
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