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A primer on partial least squares structural equation modeling (PLS-SEM) / Joseph F. Hair... []

Hair, Joseph (Joe) F. (Franklin), Jr.
Contributor(s): Hult, G. Tomas M.
Material type: materialTypeLabelBook; Format: print Publisher: Los Angeles : SAGE, 2013Description: XVI, 307p. : il. ; 23 cm.ISBN: 9781452217444.Subject(s): Ciencias sociales -- Métodos estadísticos | Estadística matemática | Programación matemática
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Item type Home library Call number Status Loan Date due Barcode Item holds
519.23/HAI/pri (Browse shelf) Checked out PREST. LIBROS 31/01/2020 3744180918
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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 ( 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

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