New Capabilities in PLS Path Modeling
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New Capabilities in PLS Path Modeling

Learn about the most recent advances in features and capabilities available for performing PLS path modeling estimation.
4.5 (3 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.
319 students enrolled
Last updated 10/2016
English
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Includes:
  • 11 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Students will learn about recent advances in estimating PLS path models.
  • Students will learn about the PLS algorithm, about consistent PLS, and about adding non-linear terms to a PLS model.
  • Students will understand how to perform multi-group analysis (MGA) with any number of groups.
  • Students will learn how to discover sources of heterogeneity using FIMIX, PLS-POS and PLS-GAS.
  • Students will learn how to accurately estimate direct, indirect, and total effects, especially in the presence of complex mediating and moderating influences.
  • Students will learn new ways to perform bootstrapping, jackknifing, and blindfolding resampling approaches.
  • Students will learn new ways to visualize relationships in PLS path models.
View Curriculum
Requirements
  • It is useful, but not essential, to have some knowledge of PLS path modeling before taking this course.
Description

Over the past several years, a significant number of new PLS path modeling (PLS-PM) approaches, techniques, and capabilities have been published in the leading academic and scientific journals. As a methodological field, variance-based path modeling with latent variables has witnessed more new, published technological advancements and developments than in the preceding two decades.

This 7-session course teaches many of these new concepts and how to specify and model them with various PLS path modeling softwares available today. All of the demonstrated softwares, some as trial versions, are freely available to use as of the publication date of this Udemy course. Use the convenient new over-the-Internet PLS-GUI "Software as a Service" (SaaS) path modeling software platform with the capability to perform PLS-PM from any computer in the world using only a browser. Securely access, upload and/or download, and reliably estimate your PLS data files and/or modify and manipulate your PLS project and model files from any computer in the world. In addition to providing the convenience and speed of using the PLS-GUI SaaS platform, the workshop also instructs with respect to using the new ADANCO composite modeling PLS software which participants may install on their Windows or Mac computer.

This is a "hands-on" course which explains the basis of many new PLS path modeling estimation capabilities and features, and which then proceeds to demonstrate numerous examples of these new capabilities and features using various PLS path modeling packages. All of the demonstrated software, some as trial versions, are freely available to use as of the publication date of this course. 

New PLS-PM capabilities and features which are explained and demonstrated include consistent PLS and non-linear PLS algorithm estimation, N-group multi-group analysis (MGA), prediction-oriented segmentation (PLS-POS) and genetic-algorithm segmentation (PLS-GAS), and new visualizations for illustrating latent variable and measurement item relationships. New approaches and techniques for estimating complex mediating and moderating relationships are explained and demonstrated. Also covered are a variety of new resampling techniques applicable to PLS-PM with bootstrapping, jackknifing, and blindfolding.

It is useful, but not essential, to have some knowledge of PLS path modeling before you take this course. However, even novice PLS path modelers will benefit from the course's content.

Who is the target audience?
  • Anyone involved in PLS path modeling will benefit from this course.
  • Graduate students, college and university faculty, and working professionals involved in variance-based path modeling will benefit from this course.
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Curriculum For This Course
145 Lectures
10:48:27
+
Introduction to Course: Objectives, Purpose and Agenda
20 Lectures 01:29:29





Agenda (part 1)
04:41

Agenda (part 2)
04:29

Agenda (part 3)
03:57

Agenda (part 4)
04:37

Agenda (part 5)
04:18

PLS-GUI Capabilities (part 1)
04:56

PLS-GUI Capabilities (part 2)
04:23

PLS-GUI Capabilities (part 3)
02:46

PLS-GUI Capabilities (part 4)
05:52

PLS-GUI Capabilities (part 5)
04:02



Importing Models and Projects (part 1)
05:37

Importing Models and Projects (part 2)
03:53

Importing Models and Projects (part 3)
06:15
+
Linear PLS and Interaction Terms with PLS-GUI
17 Lectures 01:20:44

Importing Projects Again (part 1)
05:03

Importing Projects Again (part 2)
04:14


Linear Modeling (part 2)
04:56

Assessing Reliability and Validity (part 1)
04:55

Assessing Reliability and Validity (part 2)
05:24

Assessing Reliability and Validity (part 3)
04:44

Assessing Reliability and Validity (part 4)
05:07


More on Linear PLS Reports (part 2)
04:50

More on Linear PLS Reports (part 3)
04:54

More on Linear PLS Reports (part 4)
04:43

More on Linear PLS Reports (part 5)
04:48


More Bootstrapping and Interactions
04:49

More on Interactions
04:00
+
PLS Algorithm Advances
18 Lectures 01:22:42
Advances in the PLS Algorithm Introduction
05:16

PLS Algorithm Review (part 1)
04:31

PLS Algorithm Review (part 2)
05:36

PLS Algorithm Review (part 3)
04:56

PLS Algorithm Review (part 4)
04:16

PLS Algorithm Review (part 5)
05:51

PLS Algorithm Review (part 6)
06:57



Consistent PLS (part 1)
04:54

Consistent PLS (part 2)
03:54

Consistent PLS (part 3)
04:02

More on Linear PLS (part 1)
03:48

More on Linear PLS (part 2)
04:57

More on Linear PLS (part 3)
04:23

More on Linear PLS (part 4)
02:52

Non-Linear Effects (part 1)
04:18

Non-Linear Effects (part 2)
04:15
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Groups and Latent Segmentation
31 Lectures 02:19:20


Group Differences (part 2)
03:56

Group Differences (part 3)
04:39

Group Differences (part 4)
03:47

Group Differences (part 5)
04:25

Groups (part 6)
04:37

Groups (part 7)
04:56

Groups (part 8)
04:50

Groups (part 9)
04:48


Assessing Interactions with PLS-GUI SaaS (part 2)
02:18

Multi-Group Analysis Considerations (part 1)
04:49

Interactions with SmartPLS 3.0+ (part 1)
04:24

Interactions with SmartPLS 3.0+ (part 2)
04:15


Interactions with PLS-GUI (part 2)
03:22

Heterogeneous Segments (part 1)
03:48

Heterogeneous Segments (part 2)
04:42

Heterogeneous Segments (part 3)
04:39

Approaches to Segmentation
04:26

Segmentation in Depth (part 1)
04:32

More on FIMIX (part 1)
05:11

More on FIMIX (part 2)
04:40

More on FIMIX (part 3)
03:50

More on FIMIX (part 4)
06:11

PLS-POS (part 1)
04:32

PLS-POS (part 2)
05:26

PLS-POS (part 3)
04:18

PLS-POS (part 4)
04:59

PLS-POS (part 5)
05:17
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New Visualizations for PLS Path Modeling
8 Lectures 28:51
Setting Up Latent Variable Cross Correlation Tables (part 1)
04:39

Setting Up LV Cross Correlation Tables (part 2)
02:44

PLS Tables for Visualizations (part 3)
03:54



Cross Correlation Plots (part 3)
03:27

Cross Correlation Plots (part 4)
03:09

A Question About Dropping Items
03:27
+
Mediation, Moderation, and Conditional PROCESS Analysis
30 Lectures 02:15:53
Introduction to PROCESS Section
01:48

Conditional PROCESS Analysis (slides, part 1)
04:50

Conditional PROCESS Analysis (slides, part 2)
04:10


PROCESS and Mediation (slides, part 2)
03:50

PROCESS and Mediation (slides, part 3)
04:23

PROCESS and Mediation (slides, part 4)
04:06

Moderation and Mediation (slides, part 1)
04:58


First Simple Mediation PROCESS Example (part 1)
05:13

First Simple Mediation PROCESS Example (part 2)
06:23

First Simple Mediation PROCESS Example (part 3)
05:02


Presumed Media Influence Studies #1 and #2 (part 2)
04:15

Presumed Media Influence Studies #1 and #2 (part 3)
05:46

More Examples (part 1)
04:25

More Examples (part 2)
03:56


Parallel Mediation with a Path Model (part 2)
03:46

Using PROCESS with PLS-GUI SaaS
05:09

Simple PROCESS Moderation Example (part 1)
04:45

Simple PROCESS Moderation Example (part 2)
04:12

Simple PROCESS Moderation Example (part 3)
04:44

Simple PROCESS Moderation Example (part 4)
05:07


More PROCESS Examples using PLS-GUI SaaS (part 2)
03:36

More PROCESS Moderating Examples using PLS-GUI SaaS (part 3)
04:07

More PROCESS Moderating Examples (part 4)
04:00

More PROCESS Moderating Examples (part 5)
04:09

More PROCESS Moderating Examples (part 6)
05:34
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Resampling: Bootstrapping and Jackknifing
21 Lectures 01:31:28
Introduction to the Resampling Section
01:19

What is Bootstrapping ? (part 1)
04:46

What is Bootstrapping ? (part 2)
05:18

What is Bootstrapping ? (part 3)
04:59

What is Bootstrapping ? (part 4)
04:36

What is Bootstrapping ? (part 5)
04:13

What is Bootstrapping ? (part 6)
03:09

What is Bootstrapping ? (part 7)
04:16

What is Bootstrapping ? (part 8)
03:51



Bootstrapping with PLS-GUI SaaS (part 3)
04:53

Bootstrapping with PLS-GUI SaaS (part 4)
04:27

Bootstrapping with PLS-GUI SaaS (part 5)
04:01

Bootstrapping with PLS-GUI SaaS (part 6)
03:41

Bootstrapping with PLS-GUI SaaS (part 7)
04:50

Plotting Bootstrapped Parameters (part 1)
03:58

Plotting Bootstrapped Parameters (part 2)
03:53

Jackknifing and Blindfolding
04:52

More on Blindfolding (part 1)
05:52

More on Blindfolding (part 2)
05:20
About the Instructor
Geoffrey Hubona, Ph.D.
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1,411 Reviews
12,022 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.