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

http://www.xlstat.com/en/services/training/

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).

For any further information, please contact Mr. Thierry FAHMY ([log in to unmask] 
)