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A Primer On Partial Least Squares Structural Equation Modeling Plssem 3rd 3rd Edition Joseph F Hair Jr

  • SKU: BELL-51311328
A Primer On Partial Least Squares Structural Equation Modeling Plssem 3rd 3rd Edition Joseph F Hair Jr
$ 31.00 $ 45.00 (-31%)

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A Primer On Partial Least Squares Structural Equation Modeling Plssem 3rd 3rd Edition Joseph F Hair Jr instant download after payment.

Publisher: Sage
File Extension: PDF
File size: 7.66 MB
Pages: 386
Author: Joseph F. Hair (Jr.), G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt
ISBN: 9781544396408, 9781544396415, 9781544396422, 1544396406, 1544396414, 1544396422
Language: English
Year: 2021
Edition: 3

Product desciption

A Primer On Partial Least Squares Structural Equation Modeling Plssem 3rd 3rd Edition Joseph F Hair Jr by Joseph F. Hair (jr.), G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt 9781544396408, 9781544396415, 9781544396422, 1544396406, 1544396414, 1544396422 instant download after payment.

"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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