Titre : |
Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications |
Type de document : |
e-book |
Auteurs : |
Hengky LATAN, Directeur de publication ; Richard NOONAN, Directeur de publication ; Laura TRINCHERA, Auteur Neoma |
Editeur : |
SPRINGER INTERNATIONAL PUBLISHING AG |
Année de publication : |
2017 |
Importance : |
434 p. (400 crédits) |
ISBN/ISSN/EAN : |
978-3-319-64069-3 |
Prix : |
100 EUR |
Langues : |
Anglais (eng) |
Mots-clés : |
Management STATISTIQUE ; STATISTIQUE DESCRIPTIVE
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Résumé : |
his edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview of the current state of the most advanced research related to PLS-PM. The first section of this book emphasizes the basic concepts and extensions of the PLS-PM method. The second section discusses the methodological issues that are the focus of the recent development of the PLS-PM method. The third part discusses the real world application of the PLS-PM method in various disciplines. The contributions from expert authors in the field of PLS focus on topics such as the factor-based PLS-PM, the perfect match between a model and a mode, quantile composite-based path modeling (QC-PM), ordinal consistent partial least squares (OrdPLSc), non-symmetrical composite-based path modeling (NSCPM), modern view for mediation analysis in PLS-PM, a multi-method approach for identifying and treating unobserved heterogeneity, multigroup analysis (PLS-MGA), the assessment of the common method bias, non-metric PLS with categorical indicators, evaluation of the efficiency and accuracy of model misspecification and bootstrap parameter recovery in PLS-PM, CB-SEM, and the Bollen-Stine methods and importance-performance map analysis (IPMA) for nonlinear relationships. This book will be useful for researchers and practitioners interested in the latest advances in PLS-PM as well as master and Ph.D. students in a variety of disciplines using the PLS-PM method for their projects. |
Note de contenu : |
TRINCHERA Laura, "Integrating Non-metric Data in Partial Least Squares Path Models", p. 259 - 279 |
Nombre d'accès : |
2 |
En ligne : |
http://www.vlebooks.com/vleweb/product/openreader?id=Neoma&accId=9169105&isbn=97 [...] |
Permalink : |
https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=234086 |
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