TY  - BOOK
AU  - Hair,Joseph (Joe) F.(Franklin),Jr
AU  - Hult,G.Tomas M.
TI  - A primer on partial least squares structural equation modeling (PLS-SEM)
SN  - 9781483377445
PY  - 2017///
CY  - Los Angeles
PB  - SAGE
KW  - Ciencias sociales
KW  - Métodos estadísticos
KW  - Estadística matemática
KW  - Programación matemática
N1  - Indice; Bibliografía
N2  - 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
ER  -