SEM online workshops using SmartPLS

Chance brought about that Kenneth Bollen and Walter Davis recently published “Causal Indicator Models: Identification, Estimation, and Testing” in Structural Equation Modeling – required reading for the following PLS workshop, I would say.

There are two online SmartPLS Elluminate Live ! workshops scheduled for January, 2010:

1) January 5th and 6th 6:00PM until 10:00PM Eastern Standard Time (visit the following url to register):
https://www.regonline.com/smartpls-jan-5-6-2010); and

2) January 8th and 9th 9:00AM until 1:00PM Eastern Standard Time (visit the following url to register):
https://www.regonline.com/smartpls-jan-8-9-2010).

In cooperation with: (1) the University of Hamburg (http://www.uni-hamburg.de) and SmartPLS (http://www.smartpls.de); (2) Radboud University (http://www.ru.nl) and PLS-School (http://www.PLS-school.com); and (3) faculty at Georgia State University (http://www.gsu.edu), we are offering synchronous, live, interactive, video- and audio-supported online workshops for structural equation modeling (SEM) partial least squares (PLS) path modeling using SmartPLS. The live, synchronous, online workshops are conducted using the award-winning eLearning platform Elluminate Live ! The purpose of the online workshops is to inform participants of the uses and applications of PLS path modeling using SmartPLS and to provide live, “hands-on” demonstrations of the basic and intermediate techniques of using SmartPLS.

In addition to an introduction to PLS path modeling using SmartPLS, the following topics (in addition to others) are included:

CB-SEM vs. PLS-SEM
SmartPLS Visual Interface
Scale Development
Bootstrapping vs. Jackknifing
Blindfolding
PLS Algorithm
Theory Testing vs. Prediction
Assessment of PLS Path modeling estimates (measurement model and structural model)
Reflective vs. Formative
Interpreting SmartPLS Output
Overall Goodness-of-Fit
Effect Size
Reflective vs. Formative indicators
Second-order Factor Models
Mediating Factors
Assessing the effect
Moderating Factors
Product indicator approach
Group differences approach
Three-Way Interactions
Determining strength of moderating effect
Two-stage approach
Non-linear Effects
Multi-group Analysis
Heterogeneity, Segmentation and FIMIX-PLS

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