Handbook of Partial Least Squares: Concepts, Methods and Applications

ISBN-13: 9783540328254 / Angielski / Twarda / 2010 / 798 str.

Vincenzo Esposito Vinzi

Opis

Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where soft models and soft data were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of the basic design . I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990), Frank and Friedman (1993), Tenenhauset al. (2005), there are manyothers."

Recenzje

From the reviews:

"I found the book to be a good resource for those without prior knowledge of PLS looking forward to an introduction as well as a comprehensive reference for every researcher and every practitioner interested in the most recent advances in PLS methodology. All of them should have this title as an essential part of their library. ... Great Stuff! ... will be the definitive reference work in the field for a good time to come. ... it is wonderfully readable and referable." (Current Engineering Practice, August, 2011)

"The book is divided into three parts, dealing, respectively, with contemporary methodological developments, applications in marketing and related areas, and tutorials on particular aspects of PLS analysis. It provides a comprehensive overview of recent advances in the area, and describes cutting-edge methodological developments showing how PLS can be applied in tackling a wide variety of problem types. ... for people who do have some prior experience with PLS, this book is a goldmine of novel methodological and practical applications." (David J. Hand, International Statistical Review, Vol. 80 (3), 2012)

Spis treści

I . Methods: PLS Path Modeling: Concepts, Model Estimation and Assessment: Latent Variables and Indicators: Herman Wold's Basic Design and Partial Least Squares.- PLS Path Modeling: Recent Developments and Open Issues for Model Assessment and Improvement.- Bootstrap Cross-Validation Indices for PLS Path Model Assessment. PLS Path Modeling: Extensions: How to use PLS Path modeling for analyzing multi-block data sets.- How to use ULS-SEM and PLS-SEM to measure interaction effect in a regression model relating two blocks of binary variables.- A new Multiblock PLS based method to estimate causal models. Application to the post-consumption behaviour in tourism.- A Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross of Information System Services between Germany and the USA.- Looking at the Antecedents of Perceived Switching Costs – A PLS Path Modeling Approach with Categorical Indicators. PLS Path Modeling with Classification Issues: The Finite Mixture Partial Least Squares Approach - Methodology and Application.- Prediction-oriented classification in PLS Path Modelling.- Conjoint use of variables clustering and PLS structural equations modelling. PLS Path Modeling for Customer Satisfaction Studies: Design of PLS-based Satisfaction Studies.- Applying Bootstrap and Structural Equation Models to a Customer Satisfaction Model on Mobile Telecommunications Sector.- Comparison of Likelihood and PLS estimators for Structural Equation Modeling. A Simulation with Customer Satisfaction Data.- Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis versus Partial Least Squares.  PLS Regression: PLS and Data Mining.- Three-block data modeling by endo- and exo-LPLS Regression.-Regression Modeling Analysis on Compositional Data.- A Modification of the PLSR Method. II. Applications to Marketing and Related Areas: PLS and Success Factor Studies in Marketing.- Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on Servqual Model and Emloyee Behaviour Model.- A PLS Model to Study Brand Preference: An Application to a Product Class.- An Application of PLS in Multi-Group Analysis: The need for differentiated corporate-level marketing in the mobile communications industry.- Modelling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using PLS.- Reframing Customer Value in a Service-based Paradigm: An Evaluation of a Formative Measure in a Multi-Industry, Cross-Cultural Context.- Analyzing factorial data using PLS: Application in an online complaining context.- Content Strategies in the Internet. - Use of Partial Least Squares (PLS) in TQM Research: TQM Practices and Business Performance in SMEs.- Using PLS to Investigate Interaction Effects Between Higher Order Branding Constructs. III. Tutorials with Didactic Approach: How to Write Up and Report PLS analyses.- On the Operalization of Constructs in Multiple Groups.- Evaluation of Structural Equation Models using the Partial Least Squares (PLS-) Approach.- PLS and Confirmatory Tetrad Testing for Formative Measurement Scales in Marketing.- Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures.- A Comparison of Current PLS Path Modeling Software - Features, Ease-of-Use, and Performance.- PLS Regression Modeling with Qualitative Variables and Its Application to Beijing Sand Storm Prevention.- Interpretation of the preferences of automotive customers applied to air conditioning supports by combining GPA and PLS regression.

Blurb

The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.