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Partial Least Squares Path Modeling Hengky Latan Joseph F Hair

  • SKU: BELL-54031000
Partial Least Squares Path Modeling Hengky Latan Joseph F Hair
$ 31.00 $ 45.00 (-31%)

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Partial Least Squares Path Modeling Hengky Latan Joseph F Hair instant download after payment.

Publisher: Springer Nature
File Extension: PDF
File size: 15.63 MB
Pages: 495
Author: Hengky Latan, Joseph F. Hair, Jr., Richard Noonan
ISBN: 9783031377723, 3031377729
Language: English
Year: 2023

Product desciption

Partial Least Squares Path Modeling Hengky Latan Joseph F Hair by Hengky Latan, Joseph F. Hair, Jr., Richard Noonan 9783031377723, 3031377729 instant download after payment.

Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines. This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specific indirect effects in PLS and considering their effect size; how to run hierarchical models and available approaches; and how to apply necessary condition analysis (NCA) in PLS-PM. This book will appeal to researchers interested in the latest advances in PLS-PM as well as masters and Ph.D. students in a variety of disciplines who use PLS-PM methods. With clear guidelines on selecting and using PLS-PM, especially those related to composite models, readers will be brought up to date on recent debates in the field.

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