Business Information Systems Cluster: Partial Least Squares Structural Equations Modeling

1 December, 2014 - 10:30 to 14:30
39A-201

With the increasing complexity of research models and difficulty of obtaining large sample sizes in surveys, the use of partial least squares structural equation modeling (PLS-SEM) has recently grown in popularity. However, reviews of PLS-SEM used across a variety of disciplines suggest that the method is often misused or poorly executed. This implies that there is still confusion about the characteristics of PLS-SEM, its advantages and limitations and situations, which favor the technique’s use. This half-day research seminar introduces participants to the state-of-the-art of PLS-SEM.

Participants should have a basic understanding of statistical concepts (e.g., correlation, covariance, standard deviations). A basic knowledge of multivariate statistics and SEM techniques is helpful, but not required. Participants must bring a laptop with the SmartPLS 3 software (student version) installed. The software is available free of charge from www.smartpls.com.

Prof Christian M. Ringle, Hamburg University of Technology (TUHH), and, Prof Marko Sarstedt, Otto-von-Guericke-Universiity Magdeburg, Germany