PLS Path Modeling
Introduction
Seminar on Applying PLS Path Modeling: Introduction, Extensions, Advances, Berlin, 5-7 Nov 2009
This seminar provides an introduction to PLS Path Modeling. Participants will learn how to apply PLS Path Modeling by means of the SmartPLS software. Moreover, this seminar covers many extensions and advances, such as e.g. multigroup analysis, mediating and moderating effects, second order constructs, FIMIX-PLS segmentation, and TETRAD PLS.
Instructors: Joerg Henseler & Christian M. Ringle
The first five registrants referring to this posting are entitled to a free individual coaching session
PLS-Seminar:Applying PLS Path Modeling:
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| Date: | November 5-7, 2009 |
| Presenters: | Joerg Henseler and Christian M. Ringle |
| Location: | NH Hotel Berlin Friedrichstrasse (in the heart of Berlin) |
| Program and Registration: | http://www.pls-school.com/ |
| 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 rather hard assumptions of covariance-based structural equation modeling.
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. The first five registrants referring to this ELMAR posting are entitled to a free individual coaching session.
Further information and registration under
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