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PLS Course on June 12-13, 2009, in Berlin, Germany Presenters: Joerg Henseler & Christian M. Ringle Contact: joerg.henseler@pls-school.com

SmartPLS (www.smartpls.de) and PLS School (www.pls-school.com) offer a scholarship entailing a 90% waiver of the registration fees of the coming PLS course "Applying PLS Path Modeling: Introduction, Methodological Extensions, and SmartPLS Software Application". Preference is given to doctoral candidates who are member of ÂÜÀòÉç¹ÙÍø.

Partial scholarship to participate in Partial Least Square (PLS) Path Modeling Course

 

The scholarship is jointly offered by SmartPLS – Next Generation Path Modeling () and PLS School (). The scholarship entails a 90% waiver of the registration fees with preference given to doctoral candidates who are member of ÂÜÀòÉç¹ÙÍø. Details about the course are available below. Please contact Joerg Henseler to obtain details about the scholarship: joerg.henseler@pls-school.com

 

 

Applying PLS Path Modeling:
Introduction, Methodological Extensions, and SmartPLS Software Application

 

Date: June 12-13, 2009

Program and Registration:

Presenters: Joerg Henseler and Christian M. Ringle

Location: (in the heart of Berlin)

Contact: joerg.henseler@pls-school.com

 

Partial least squares (PLS) path modeling provides a powerful framework for estimating causal models with latent variables and their manifest indicators as well as systems of simultaneous equations with measurement error. Herman O. A. Wold developed the basic PLS algorithm as a prediction-oriented fixed point method which allows variance-based estimation of causal models.

 

Market researchers and academics widely apply PLS path modeling to predict endogenous latent variables and to estimate as well as to test linear relationships between latent variables (causal analysis). PLS is a robust technique and flexible in handling various modeling problems in situations where it is difficult or impossible to meet the hard assumptions of more conventional multivariate statistics.

 

PLS applications have been successfully used in different sub disciplines of marketing including international marketing, relationship marketing, and business-to-business marketing, as well as in the fields of strategic management, information technology management, media management, and applied psychology. National customer satisfaction indices such as the American Customer Satisfaction Index (ACSI) and the European Customer Satisfaction Index (ECSI) have a long tradition of applying PLS.

 

This seminar presents PLS Path Modeling as a flexible and powerful means to predict latent variables and to assess relationships between latent variables. Participants will learn how to apply PLS Path Modeling for market research or academic purposes (e.g. success factor studies).

 

Who Will Benefit?

 

This seminar is designed for practicing business professionals, and for full-time faculty and students who are engaged in, or interested in, current techniques to perform structural equation modeling (SEM) using the PLS path modeling approach.

 

Program

 

Participants will be introduced to the PLS path modeling methodology and the SmartPLS software application. In addition to practical exercises, the seminar will also cover advanced topics in: importance-performance matrix based PLS analyses, modeling second-order constructs, analysis of mediating effects, investigating moderating effects, multi-group analysis, and identification of latent segments through finite mixture PLS path modeling.

 

A copy of the brochure which includes a preliminary agenda is now available.