PLS Applications Symposium; 3 - 5 April 2019; Laredo, Texas
(Abstract submissions accepted until 15 February 2019)
*** Only abstracts are needed for the submissions ***
The partial least squares (PLS) method has increasingly been
used in a variety of fields of research and practice, particularly in the
context of PLS-based structural equation modeling (SEM). The focus of this
Symposium is on the application of PLS-based methods, from a multidisciplinary
perspective. For types of submissions, deadlines, and other details, please
visit the Symposium’s web site:
*** Workshop on PLS-SEM ***
On 3 April 2019 a full-day workshop on PLS-SEM will be
conducted by Dr. Ned Kock and Dr. Geoffrey Hubona, using the software WarpPLS.
Dr. Kock is the original developer of this software, which is one of the
leading PLS-SEM tools today; used by thousands of researchers from a wide
variety of disciplines, and from many different countries. Dr. Hubona has extensive
experience conducting research and teaching topics related to PLS-SEM, using
WarpPLS and a variety of other tools. This workshop will be hands-on and
interactive, and will have two parts: (a) basic PLS-SEM issues, conducted in
the morning (9 am - 12 noon) by Dr. Hubona; and (b) intermediate and advanced
PLS-SEM issues, conducted in the afternoon (2 pm - 5 pm) by Dr. Kock.
Participants may attend either one, or both of the two parts.
The following topics, among others, will be covered -
Running a Full PLS-SEM Analysis - Conducting a Moderating Effects Analysis -
Viewing Moderating Effects via 3D and 2D Graphs - Creating and Using Second
Order Latent Variables - Viewing Indirect and Total Effects - Viewing Skewness
and Kurtosis of Manifest and Latent Variables - Viewing Nonlinear Relationships
- Solving Collinearity Problems - Conducting a Factor-Based PLS-SEM Analysis -
Using Consistent PLS Factor-Based Algorithms - Exploring Statistical Power and
Minimum Sample Sizes - Exploring Conditional Probabilistic Queries - Exploring
Full Latent Growth - Conducting Multi-Group Analyses - Assessing Measurement
Invariance - Creating Analytic Composites.
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Ned Kock
Symposium Chair
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