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Partial least squares path modeling = basic concepts, methodological issues and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Partial least squares path modeling/ edited by Hengky Latan, Joseph F. Hair, Jr., Richard Noonan.
其他題名:	basic concepts, methodological issues and applications /
其他作者:	Latan, Hengky.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xxxvi, 472 p. :illustrations (some col.), digital ;24 cm.
內容註:	Introduction to the Partial Least Squares Path Modeling: Basic Concepts and Recent Methodological Enhancements -- Quantile Composite-Based Path Modeling with R: A Hands-On Guide -- Use of Partial Least Squares Path Modeling within and across Business Disciplines -- Statistical and Psychometric Properties of Three Weighting Schemes of the PLS-SEM Methodology -- Software Packages for Partial Least Squares Structural Equation Modeling: An Updated Review -- Revisiting and Extending PLS for Ordinal Measurement and Prediction -- Multicollinearity: An Overview and Introduction of Ridge PLS-SEM Estimation -- Demystifying Prediction in Mediation Research and the Use of Specific Indirect Effects and Indirect Effect Sizes -- Alternative Approaches to Higher-Order PLS-Path Modeling: A Discussion on Methodological Issues and Applications -- How to Apply Necessary Condition Analysis in PLS-SEM -- New Insights for Public Diplomacy Using PLS-SEM to Analyze the Polyphony of Voices: Value Drivers of the Country Image in Western European and BRICS countries -- To Survive or Not to Survive: Findings from PLS-SEM on the Relationship between Organizational Resources and Startups Survival -- Influence of Earnings Quality Dimensions on the Perception of Earnings Quality: An Empirical Application of Composite PLS using Archival Data -- Importance Performance Map Analysis of Capital Structure Using PLS-SEM: Evidence from Non-Financial Sector.
Contained By:	Springer Nature eBook
標題:	Least squares. -
電子資源:	https://doi.org/10.1007/978-3-031-37772-3
ISBN:	9783031377723

Partial least squares path modeling = basic concepts, methodological issues and applications /
Partial least squares path modelingbasic concepts, methodological issues and applications /[electronic resource] :edited by Hengky Latan, Joseph F. Hair, Jr., Richard Noonan. - Second edition. - Cham :Springer International Publishing :2023. - xxxvi, 472 p. :illustrations (some col.), digital ;24 cm.

Introduction to the Partial Least Squares Path Modeling: Basic Concepts and Recent Methodological Enhancements -- Quantile Composite-Based Path Modeling with R: A Hands-On Guide -- Use of Partial Least Squares Path Modeling within and across Business Disciplines -- Statistical and Psychometric Properties of Three Weighting Schemes of the PLS-SEM Methodology -- Software Packages for Partial Least Squares Structural Equation Modeling: An Updated Review -- Revisiting and Extending PLS for Ordinal Measurement and Prediction -- Multicollinearity: An Overview and Introduction of Ridge PLS-SEM Estimation -- Demystifying Prediction in Mediation Research and the Use of Specific Indirect Effects and Indirect Effect Sizes -- Alternative Approaches to Higher-Order PLS-Path Modeling: A Discussion on Methodological Issues and Applications -- How to Apply Necessary Condition Analysis in PLS-SEM -- New Insights for Public Diplomacy Using PLS-SEM to Analyze the Polyphony of Voices: Value Drivers of the Country Image in Western European and BRICS countries -- To Survive or Not to Survive: Findings from PLS-SEM on the Relationship between Organizational Resources and Startups Survival -- Influence of Earnings Quality Dimensions on the Perception of Earnings Quality: An Empirical Application of Composite PLS using Archival Data -- Importance Performance Map Analysis of Capital Structure Using PLS-SEM: Evidence from Non-Financial Sector.

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.

ISBN: 9783031377723

Standard No.: 10.1007/978-3-031-37772-3doiSubjects--Topical Terms:

549973
Least squares.

LC Class. No.: QA275

Dewey Class. No.: 511.42

Partial least squares path modeling = basic concepts, methodological issues and applications /
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505 0 $a Introduction to the Partial Least Squares Path Modeling: Basic Concepts and Recent Methodological Enhancements -- Quantile Composite-Based Path Modeling with R: A Hands-On Guide -- Use of Partial Least Squares Path Modeling within and across Business Disciplines -- Statistical and Psychometric Properties of Three Weighting Schemes of the PLS-SEM Methodology -- Software Packages for Partial Least Squares Structural Equation Modeling: An Updated Review -- Revisiting and Extending PLS for Ordinal Measurement and Prediction -- Multicollinearity: An Overview and Introduction of Ridge PLS-SEM Estimation -- Demystifying Prediction in Mediation Research and the Use of Specific Indirect Effects and Indirect Effect Sizes -- Alternative Approaches to Higher-Order PLS-Path Modeling: A Discussion on Methodological Issues and Applications -- How to Apply Necessary Condition Analysis in PLS-SEM -- New Insights for Public Diplomacy Using PLS-SEM to Analyze the Polyphony of Voices: Value Drivers of the Country Image in Western European and BRICS countries -- To Survive or Not to Survive: Findings from PLS-SEM on the Relationship between Organizational Resources and Startups Survival -- Influence of Earnings Quality Dimensions on the Perception of Earnings Quality: An Empirical Application of Composite PLS using Archival Data -- Importance Performance Map Analysis of Capital Structure Using PLS-SEM: Evidence from Non-Financial Sector.
520 $a 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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