Hair, Joseph (Joe) F. (Franklin), Jr.

A primer on partial least squares structural equation modeling (PLS-SEM) / Joseph F. Hair... [et.al.] - Los Angeles : SAGE, 2013 - XVI, 307p. : il. ; 23 cm

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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-the only comprehensive book available to explain the fundamental aspects of the method-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).INDICE: Chapter One: Structural Equation ModelingChapter Two: Specifying the Path Model and Collecting DataChapter Three: Path Model EstimationChapter Four: Assessing PLS-SEM Results Part I: Evaluation of Reflective Measurement ModelsChapter Five: Assessing PLS-SEM Results Part II: Evaluation of the Formative Measurement ModelsChapter Six: Assessing PLS-SEM Results Part III: Evaluation of the Structural ModelChapter Seven: Advanced Topics in PLS Path ModelingChapter Eight: Modeling Heterogeneous Data

9781452217444


Ciencias sociales--Métodos estadísticos
Estadística matemática
Programación matemática

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