A primer on partial least squares structural equation modeling (PLS-SEM) /
[Book]
Joseph F. Hair, Jr., Kennesaw State University, G. Tomas M. Hult, Christian M Ringle, Marko Sarstedt.
Second edition.
Los Angeles :
Sage,
[2017]
xx, 363 pages ;
23 cm
Includes bibliographical references 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.
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With applications using SmartPLS (www.smartpls.com) - the primary software used in partial least squares structural equation modeling (PLS-SEM) - this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways -- page 4 of cover.