[AISWorld] PLS Applications Symposium; 15 - 17 April 2020; Laredo, Texas (Abstract submissions accepted until 15 February 2020)

[Ned Kock]

PLS Applications Symposium; 15 - 17 April 2020; Laredo, Texas

(Abstract submissions accepted until 15 February 2020)

 

*** 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:

 

http://plsas.net

 

*** Workshop on PLS-SEM ***

 

On 15 April 2020 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.