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

Hair, Joseph (Joe) F. (Franklin), Jr.
Contributor(s): Hult, G. Tomas M.
Material type: materialTypeLabelBookPublisher: Los Angeles : SAGE, 2017Edition: 2nd ed.Description: XX, 363p. : il. ; 23 cm.ISBN: 9781483377445.Subject(s): Ciencias sociales -- Métodos estadísticos | Estadística matemática | Programación matemática
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Monografías 01. BIBLIOTECA CAMPUS JEREZ
S-1386 (Browse shelf) Checked out PREST. LIBROS 31/01/2020 374019450X
Monografías 07. BIBLIOTECA CIENCIAS SOCIALES
303.71/PRI (Browse shelf) Checked out PREST. LIBROS 31/01/2020 3744376609
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Indice

Bibliografía

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

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