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Partial Least Squares Path Modeling

Name: Partial Least Squares Path Modeling
Brand: Springer International Publishing AG
SKU: 21375729
Price: 189.39 EUR
Availability: InStock
Author: Hengky Latan
ISBN: 9783319877143

Basic Concepts, Methodological Issues and Applications

Hengky Latan

Richard Noonan

Language

English

Book Paperback

Libristo code: 21375729

Publishers Springer International Publishing AG, August 2018

This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) an... Full description

Libristo code: 21375729

464 b

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This 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.