PLS Path Modeling Using SmartPLS
Introduction
Course in Partial Least Square Path Modeling Using SmartPLS, Sydney, 27-28 Oct 2008, Scholarship available
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Partial Scholarship to participate in Partial Least Square (PLS) Path Modeling Course
The Scholarship is jointly offered by UTS’ School of Marketing and its Centre for Management & Organisation Studies. The scholarship entails a 50% waiver of the registration fees with preference given to doctoral candidates. Details about the course are available below. Please contact Professor Siggi Gudergan to obtain details about the scholarship: siggi.gudergan@uts.edu.au
Partial Least Square (PLS) Path Modeling – Using SmartPLS
Start Date: 27th and 28th of October, 2008
Presenter: Dr Christian M Ringle
Location: University of Technology Sydney (UTS), City/Broadway Campus
Contact: Helen Yee or Brigitte Mansour, Telephone: (02) 9514 3504
Internet:
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 traditional multivariate statistics.
PLS applications have been successfully used in the fields of strategic management, information technology management, media management, and different sub disciplines of marketing including international marketing, drivers and consequences of customer satisfaction and evolution of loyalty intentions, relationship marketing, and business-to-business marketing. However, research on customer satisfaction, for instance the American customer satisfaction index (ACSI) and the European customer satisfaction index (ECSI), has the longest tradition of applying PLS in empirical marketing studies.
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 proposes (eg. success factor analyses).
Who Will Benefit?
This seminar is design for practicing business professionals, and for full-time faculty and students who are engaged in, or interested in, current techniques to perform structured 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 which includes a preliminary agenda is now available.
University of Technology, Sydney
School of Marketing and Centre for Management & Organisation Studies