PLS Path Modeling with the Desktop PLS-GUI Application
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PLS Path Modeling with the Desktop PLS-GUI Application

How to conduct PLS path modeling using a desktop application created with R software
4.4 (4 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
393 students enrolled
Last updated 9/2016
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  • 4.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • This course teaches students about PLS path modeling, including multi-group analysis and prediction-oriented segmentation.
  • The course demonstrates the use of the GUI R-based RGtk2 language to create desktop applications.
  • The course provides students with a no-cost, beta-version PLS path modeling tool to use with their own models and data.
View Curriculum
  • Students will need to install R and the desktop PLS-GUI application with the provided instructions.

PLS Path Modeling with the Desktop PLS-GUI Application is a course that both teaches about the practice of variance-based structural equation modeling (SEM), sometimes referred to as PLS Path Modeling, and is a course that provides a beta application, the desktop PLS-GUI, to do so. The PLS-GUI application was developed using the visual RGtk2 programming language in R software. RGtk2 is the R-based GUI language extension derived from the public GTK+ (GIMP Tool Kit) language.

The PLS-GUI desktop application was jointly developed by Dr. Geoffrey Hubona and Dean Lim, both of whom are co-instructors of this course.

Course participants are encouraged to use the included PLS-GUI desktop application with their own data and PLS model files. Please note that this was a beta version application which is no longer directly supported by our staff. So, while we are limited in our ability to provide fixes or solutions to use-related issues which may arise installing or using the application, we are happy to answer any and all questions relevant to the course content per se.

We include three beta versions of the desktop PLS-GUI application: one from March 2014; another from September 2014; and the last version dated December 2014. However, the video lessons in this course are specific to the March 2014 PLS-GUI application version only.

It is advantageous to know something about PLS path modeling before you take this course. If you are brand new to PLS path modeling, you might also consider enrolling in the free Udemy course Conceptual Foundations of PLS Path Modeling.

We include all of the materials seen in the course videos: data files and PLS model and project files. If you note any materials that are missing please bring it to our attention.

Anyone who is involved with PLS path modeling would benefit, learn something new, by taking this course. This includes graduate students, faculty, and other practitioners who deal with variance-based SEM tools for a living.

Who is the target audience?
  • Anyone involved with PLS path modeling will benefit from this course, whether they are a novice or more experienced PLS path modeler.
  • It is beneficial if you know something about PLS path modeling before you take this course, although it is not essential.
  • Graduate students, faculty, and/or practicing professionals using variance-based SEM will benefit from this course.
  • MAC users might experience problems running the RGtk2-based desktop PLS-GUI application.
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Curriculum For This Course
63 Lectures
Introduction to PLS-GUI Desktop Application Developed in RGtk2
5 Lectures 19:12

Installation and Set-Up (part 1)

Installation and Set-Up (part 2)
Summaries of PLS-GUI Buttons and Capabilities
20 Lectures 01:26:57

View - Edit Button

Using the Edit Feature

PLS-GUI Reports Button (part 1)

PLS-GUI Reports Button (part 2)

Tools Button

MGA (part 2)

MGA (part 3)

PLS-POS (part 1)

PLS-POS (part 2)

Super Bootstrapper (part 2)

Super Bootstrapper (part 3)

Super Jackknifer (part 1)

Super Jackknifer (part 2)

R Commander Graphics (part 1)

R Commander Graphics (part 2)
Overview of the PLS-GUI Desktop Application
18 Lectures 01:23:18
What is PLS-GUI ? (part 1)

What is PLS-GUI ? (part 2)

Starting the PLS-GUI desktop application

The PLS-GUI Directories (part 2)

View and Edit

Linear PLS (part 2)

Linear PLS (part 3)

More Reports (part 1)

More Reports (part 2)

More Reports (part 3)

More Reports and Tools Button

More on Tools Button

R Commander Button (part 2)
Linear PLS Path Modeling in more Depth
7 Lectures 34:28
Recap: Getting the Application Started

Linear PLS Path Modeling Capabilities (part 3)

Linear PLS Path Modeling Capabilities (part 4)

Linear PLS Path Modeling Capabilities (part 5)

Linear PLS Path Modeling Capabilities (part 6)
Multi-Group Analysis (MGA) Capabilities
7 Lectures 30:38

More on MGA (part 3)

More on MGA (part 4)

More on MGA (part 5)

3-Way MGA (part 1)

3-Way MGA (part 2)
Prediction-Oriented Segmentation Capabilities
6 Lectures 26:41

PLS-POS (part 3)

PLS-POS (part 4)

PLS-POS (part 5)

PLS-POS (part 6)
About the Instructor
Geoffrey Hubona, Ph.D.
4.0 Average rating
1,402 Reviews
11,940 Students
28 Courses
Professor of Information Systems

Dr. Geoffrey Hubona held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 3 major state universities in the Eastern United States from 1993-2010. In these positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master's and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL; an MA in Economics, also from USF; an MBA in Finance from George Mason University in Fairfax, VA; and a BA in Psychology from the University of Virginia in Charlottesville, VA. He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling.

Dean Lim
4.4 Average rating
18 Reviews
721 Students
2 Courses
SEM Statistical Programmer

I am an avid user and statistical programmer of all things related to SEM especially the newer Partial Least Squares SEM. I believe PLS-SEM will be the future of big data as related to marketing. I am also a data analyst and CMRP marketing researcher.