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Handbook of Partial Least Squares

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Cover of 'Handbook of Partial Least Squares'

Table of Contents

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    Book Overview
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    Chapter 1 Editorial: Perspectives on Partial Least Squares
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    Chapter 2 Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares
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    Chapter 3 PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement
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    Chapter 4 Bootstrap Cross-Validation Indices for PLS Path Model Assessment
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    Chapter 5 A Bridge Between PLS Path Modeling and Multi-Block Data Analysis
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    Chapter 6 Use of ULS-SEM and PLS-SEM to Measure a Group Effect in a Regression Model Relating Two Blocks of Binary Variables
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    Chapter 7 A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism
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    Chapter 8 An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA
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    Chapter 9 Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples
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    Chapter 10 Prediction Oriented Classification in PLS Path Modeling
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    Chapter 11 Conjoint Use of Variables Clustering and PLS Structural Equations Modeling
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    Chapter 12 Design of PLS-Based Satisfaction Studies
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    Chapter 13 A Case Study of a Customer Satisfaction Problem: Bootstrap and Imputation Techniques
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    Chapter 14 Comparison of Likelihood and PLS Estimators for Structural Equation Modeling: A Simulation with Customer Satisfaction Data
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    Chapter 15 Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares
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    Chapter 16 PLS in Data Mining and Data Integration
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    Chapter 17 Three-Block Data Modeling by Endo- and Exo-LPLS Regression
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    Chapter 18 Regression Modelling Analysis on Compositional Data
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    Chapter 19 PLS and Success Factor Studies in Marketing
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    Chapter 20 Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model
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    Chapter 21 A PLS Model to Study Brand Preference: An Application to the Mobile Phone Market
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    Chapter 22 An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry
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    Chapter 23 Modeling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using Partial Least Squares
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    Chapter 24 Reframing Customer Value in a Service-Based Paradigm: An Evaluation of a Formative Measure in a Multi-industry, Cross-cultural Context
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    Chapter 25 Analyzing Factorial Data Using PLS: Application in an Online Complaining Context
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    Chapter 26 Application of PLS in Marketing: Content Strategies on the Internet
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    Chapter 27 Use of Partial Least Squares (PLS) in TQM Research: TQM Practices and Business Performance in SMEs
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    Chapter 28 Using PLS to Investigate Interaction Effects Between Higher Order Branding Constructs
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    Chapter 29 How to Write Up and Report PLS Analyses
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    Chapter 30 Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach
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    Chapter 31 Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures
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    Chapter 32 A Comparison of Current PLS Path Modeling Software: Features, Ease-of-Use, and Performance
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    Chapter 33 Introduction to SIMCA-P and Its Application
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    Chapter 34 Interpretation of the Preferences of Automotive Customers Applied to Air Conditioning Supports by Combining GPA and PLS Regression
Attention for Chapter 3: PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement
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Chapter title
PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement
Chapter number 3
Book title
Handbook of Partial Least Squares
Published by
Springer, Berlin, Heidelberg, January 2010
DOI 10.1007/978-3-540-32827-8_3
Book ISBNs
978-3-54-032825-4, 978-3-54-032827-8
Authors

Vincenzo Esposito Vinzi, Laura Trinchera, Silvano Amato, Vinzi, Vincenzo Esposito, Trinchera, Laura, Amato, Silvano

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 886 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 13 1%
Brazil 5 <1%
France 3 <1%
United States 3 <1%
Spain 3 <1%
Germany 2 <1%
Portugal 2 <1%
United Kingdom 2 <1%
South Africa 1 <1%
Other 6 <1%
Unknown 846 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 218 25%
Student > Master 104 12%
Lecturer 65 7%
Student > Doctoral Student 59 7%
Researcher 45 5%
Other 169 19%
Unknown 226 26%
Readers by discipline Count As %
Business, Management and Accounting 296 33%
Social Sciences 76 9%
Computer Science 67 8%
Economics, Econometrics and Finance 35 4%
Engineering 34 4%
Other 119 13%
Unknown 259 29%