Hair, Joseph F., <br/><br/>
A primer on partial least squares structural equations modeling (PLS-SEM) / 
Joseph F. Hair, Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt. 
 - xvi, 307 pages :  illustrations ;  23 cm. 
<br/><br/>Includes bibliographical references (page 282-289) and indexes. 
<br/><br/>Structural Equation Modeling -- Specifying the Path Model and Collecting 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 -- Advanced Topics in PLS Path Modeling -- Modeling Heterogeneous Data. 
<br/><br/> 'A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), by Hair, Hult, Ringle, and Sarstedt, provides a concise yet very practical guide to understanding and using PLS structural equation modeling (PLS-SEM). PLS-SEM is evolving as a statistical modeling technique and its use has increased exponentially in recent years within a variety of disciplines, due to the recognition that PLS-SEM's distinctive methodological features make it a viable alternative to the more popular covariance-based SEM approach. This text includes extensive examples on SmartPLS software, and is accompanied by multiple data sets that are available for download from the accompanying website (www.pls-sem.com).'--Publisher's website. 
<br/><br/><label>ISBN: </label>9781452217444  Hadiah 1452217440 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Least squares.<br/>Structural equation modeling.