9781544396408-1544396406-A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

ISBN-13: 9781544396408
ISBN-10: 1544396406
Edition: Third
Author: G. Tomas M. Hult, Joe Hair, Christian M. Ringle, Marko Sarstedt
Publication date: 2021
Publisher: SAGE Publications, Inc
Format: Paperback 384 pages
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ISBN-13: 9781544396408
ISBN-10: 1544396406
Edition: Third
Author: G. Tomas M. Hult, Joe Hair, Christian M. Ringle, Marko Sarstedt
Publication date: 2021
Publisher: SAGE Publications, Inc
Format: Paperback 384 pages

Summary

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (ISBN-13: 9781544396408 and ISBN-10: 1544396406), written by authors G. Tomas M. Hult, Joe Hair, Christian M. Ringle, Marko Sarstedt, was published by SAGE Publications, Inc in 2021. With an overall rating of 3.7 stars, it's a notable title among other Statistics (Education & Reference, Mathematical & Statistical, Software) books. You can easily purchase or rent A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (Paperback) from BooksRun, along with many other new and used Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $20.12.

Description

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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