Paris: A 3-day Course on PLS Path Modelling
Paris, town of love and PLS
A 3-day Course on PLS Path Modelling:
Basic Concepts and Foundations, Advances and Applications
by W.W. Chin, V. Esposito Vinzi, M. Tenenhaus
23-24-25 November 2009
Paris, France
Overview
The first presentations of the PLS (Partial Least Squares) approach to path models with latent variables were published by Herman Wold in the late Sixties, with further works on the algorithm published in the following decade. Then, Wold’s work was continued by J.-B. Lohmöller (1989) who formalized the method from the mathematical point of view before developing the LVPLS software where the PLS algorithm was enriched by a few validation procedures. After Lohmöller’s contribution, the method was somehow forgotten for various reasons, and it is only since a decade that it has been rediscovered by Wynne W. Chin in the domain of the Management of Information Systems and then by Michel Tenenhaus and Vincenzo Esposito Vinzi in the domain of Statistics, and further developed thanks to the efforts of several researchers from diverse disciplines at both the methodological and the application level.
The first part of this course (DAY 1) will deal with the basic concepts and the methodological foundations of the PLS approach while presenting and discussing several estimation options, procedures for model assessment and validation, and interpretation tools with a specific focus on applications in different domains. The XLSTAT-PLSPM software will be presented and used.
XLSTAT-PLSPM is the ultimate PLS Path Modeling software implemented in XLSTAT (http://www.xlstat.com/en/products/xlstat-plspm/), a data analysis and statistical solution for Microsoft Excel. XLSTAT allows using the PLS approach (both PLS Path modeling and PLS regression) without leaving Microsoft Excel. Apart from the classical and fundamental options of PLS Path Modeling, XLSTAT-PLSPM comprises several advanced features and implements the most recent methodological developments under the supervision of a scientific committee.
The advanced part of the course (DAY 2 and DAY 3) will focus on the most recent extensions and methodological developments by considering both theoretical aspects and application relevance.
The presentation will also refer to many papers already published by the instructors as well as to ongoing research and forthcoming papers.
Course Outline
DAY 1: BASIC CONCEPTS AND FOUNDATIONS
Review of Prerequisites for Understanding PLS
Introduction to Structural Equation Modeling with model specification issues
The full featured PLS Path Modeling Algorithm from estimation options to model assessment and interpretation
Tutorial on XLSTAT-PLSPM with examples and practice
DAY 2: ADVANCES IN PLS-PM: Part 1
Algorithmic Comparison of PLS Path Modelling with other methods
Second Order Constructs
Continuous Moderating Effects
Discrete Moderating Effects: Multi-Group Comparison
Applications with XLSTAT-PLSPM
DAY 3: ADVANCES IN PLS-PM: Part 2
Mediating Effects
Handling Missing Data
Higher Dimensions and Multiple Table Analysis
Handling Multidimensionality
Uncovering Segments
Criterion-based PLS Approach for Structural Equation Modelling
Applications with XLSTAT-PLSPM
The detailed agenda (with further information on registration and contact details) is available at: http://www.xlstat.com/en/services/training/
It is possible to register for DAY 1 (BASIC course), or for DAY 2 and DAY 3 (ADVANCED course) or for the 3 days (FULL course).
