Structural Equation Modeling (SEM) Using R

This course will teach you how to implement structural equation models (SEM) using R.

$769 | Enroll Now
Alert me to upcoming courses
Group Rates

Overview

Structural Equation Modeling (SEM) allows you to go beyond simple single-outcome models, and deal with multiple outcomes and multi-directional causation. You will learn how to create structural equation models using the lavaan package in R. We will cover SEM terminology, such as latent and manifest variables, how to create measurement and structural models, and assess that model for accuracy. In this course, you will apply your knowledge to real datasets to design, build, assess, and update a structural equation model. By the end of the course, you will be able to analyze path models, conduct a confirmatory factor analysis, and diagram your model using the semPlot package.

Expert Instructors
Intermediate/Advanced Level
Weekly Exercises
4-Week Course
Tution-Back Guarantee

Learning Outcomes

You will learn how to:

  • Identify latent, manifest, exogenous and endogenous variables
  • Fit SEM models with the R package lavaan
  • Produce path diagrams of SEM models with semPlot
  • Use confirmatory factor analysis

Who Should Take This Course

Researches and analysts who want to go beyond simple models and incorporate multi-directionality, multiple outcomes and latent variables, using R.

Instructors

Dr. Erin Bunchanan

Dr. Erin Buchanan

Dr. Erin Buchanan is a Professor at Harrisburg University of Science and Technology where she teaches a variety of statistics courses, data science skills, and natural language processing. Her research focuses on applied statistics, the use and misuse of statistics, and computational linguistics. She runs a statistics YouTube channel and StatsTools.com for everyone to improve their skills.

See Instructor Bio

Course Syllabus

Week 1

Terms and Concepts in SEM

  • Terminology about models: latent, manifest, exogenous, and endogenous variables
  • Understanding model diagrams: squares, circles, and paths
  • Hypothesis testing in SEM
  • Specification, identification, and degrees of freedom
  • Estimation and other considerations

Week 2

Your First Model and Fit Indices

  • lavaan syntax: understanding how to create models
  • Path models: regression on regression
  • Fit indices: goodness of fit and residual statistics
  • Interpreting lavaan output

Week 3

Measurement Models

  • Creating a measurement model: applications to confirmatory factor analysis
  • Reflective versus formative modeling approaches
  • Latent variables
  • Scaling
  • Creating diagrams with semPaths

Week 4

Full Structural Equation Models

  • Combine path and measurement models
  • Heywood cases
  • Modification indices
  • Model comparison

Class Dates

2022

Oct 28, 2022 to Nov 25, 2022

2023

Oct 27, 2023 to Nov 24, 2023

2024

Oct 25, 2024 to Nov 22, 2024

Send me reminder for next class

Prerequisites

You should have some familiarity with statistical modeling (e.g. regression) and the basics of educational measurement and assessment.  You should also be comfortable working in R.

What Our Students Say​

Frequently Asked Questions

Contact Us

Phone: +1 (571) 281-8817

Email: ourcourses@statistics.com

Mailing address:
The Institute for Statistics Education
2107 Wilson Blvd
Suite 850
Arlington, VA 22201

 

Contact Rowan University Global Learning

Call (856) 256-4747

global@rowan.eduEmail
 
Locations

Enterprise Center
225 Rowan Boulevard
Glassboro, NJ 08028

Open in Google Maps

 

 Camden Campus
129 North Broadway
Camden, NJ 08102

Open in Google Maps

Start Dates & Application Deadlines

The chart below details available entry terms for the Computational Data Analytics Certificate of Graduate Study program as well as corresponding application deadlines. Submitting the Application Form is only the first step to beginning the admission process. All of the required materials listed above must be received on or before the application completion deadline for your desired entry term to be considered for admission to that term. We encourage you to complete the application form and begin submitting your materials at least one month before the deadline indicated.

Term Start date Application Deadline
Spring 2020 01/21/2020 11/01/2019
Summer 2020 05/19/2020 04/01/2020
Fall 2020 09/01/2020 07/01/2020

Do you provide custom training services?

We provide custom training services that can include, but is not limited to: 

  • Custom curriculum 
  • Custom courses and materials
  • Live training on-site
  • Live training via webinar
  • Special tuition pricing for multiple-student volume

Contact us to see how we can help you meet your training needs.

What markets or industries are you most proficient?

We work with organizations of all types across many industries: 

  • Pharmaceuticals
  • Healthcare
  • Higher Education
  • Mining and Minerals
  • Oil and Energy
  • Transportation
  • Telecomm
  • Just to name a few…

Contact us to learn more about how we can help you with your business needs.

What type of companies and organizations do you work with?

We work with organizations of all types across many industries: 

  • Fortune 500 Corporations
  • Small-to-Medium Enterprises
  • Not-for-Profit Associations
  • Government Agencies
  • Academic Institutions

Contact us to learn more about how we can help you with your business needs.

What is your satisfaction guarantee and how does it work?

We offer a “Student Satisfaction Guarantee​” that includes a tuition-back guarantee, so go ahead and take our courses risk free. That’s our commitment to student satisfaction. Students may cancel, transfer, or withdraw from a course under certain conditions. If you’re not satisfied with a course, you may withdraw from the course and receive a tuition refund.

Please see our knowledge center for more information.

Can I transfer or withdraw from a course?

We have a flexible transfer and withdrawal policy that recognizes circumstances may arise to prevent you from taking a course as planned. You may transfer or withdraw from a course under certain conditions.

  • Students are entitled to a full refund if a course they are registered for is canceled.
  • You can transfer your tuition to another course at any time prior to the course start date or the drop date, however a transfer is not permitted after the drop date.
  • Withdrawals on or after the first day of class are entitled to a percentage refund of tuition.

Please see this page for more information.

Who are the instructors at the Institute?

The Institute has more than 60 instructors who are recruited based on their expertise in various areas in statistics. Our faculty members are:

  • Authors of well-regarded texts in their area;
  • Advisory board members;
  • Senior faculty; and
  • Educators who have made important contributions to the field of statistics or online education in statistics.

The majority of our instructors have more than five years of teaching experience online at the Institute.

Please visit our faculty page for more information on each instructor at The Institute for Statistics Education.

Please see our knowledge center for more information.

What type of courses does the Institute offer?

The Institute offers approximately 80 courses each year. Topics include basic survey courses for novices, a full sequence of introductory statistics courses, bridge courses to more advanced topics. Our courses cover a range of topics including biostatistics, research statistics, data mining, business analytics, survey statistics, and environmental statistics.

Please see our course search or knowledge center for more information.

Do your courses have for-credit options?

Our courses have several for-credit options:

  • Continuing education units (CEU)
  • College credit through The American Council on Education (ACE CREDIT)
  • Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®)

Please see our knowledge center for more information.

Is there a fee for a Record of Mastery Specialization?

Successfully complete the courses listed for Mastery Series and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

To receive your Record of Mastery Series Specialization, there is a recording fee of $65.

Please see our knowledge center for more information.

How does the Mastery Series program work?

The Institute offers specializations in topics in several areas of focus. Successfully complete three of the courses listed for any specialization and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

Please see our knowledge center for more information.

What types of courses are offered in Mastery Series?

Courses in the Mastery Series are standard Statistics.com courses – small classes, regular interaction with your instructor throughout the course, rapid expert feedback on your homework and projects.

Please see our knowledge center for more information.

I need to transfer credit to my college or university.

ACE CREDIT’s College and University Network is a group of more than 2,200 higher education institutions that consider ACE credit recommendations for transfer to degree programs.  Check this list to see if your school is already part of the ACE CREDIT College and University Network.

If your school will not accept the ACE Credit Recommendation, but will accept our Record of Completion noting Continuing Education Units (CEU’s) be sure to download a copy of your Record at the end of the course for your files.  If you need your final marks sent to a specific person, you may write to the Registrar (ourcourses@statistics.com) to request this.  Include the full name, title and email address of the person who is to receive this information, plus your name and course title. An email will be sent, reporting your final marks. If you require a more formal notification, we can provide a transcript, which can be sent to your school. Please pay the transcript preparation fee here, then send an email to the Registrar, requesting the same.

Please see our knowledge center for more information.

Is my school in the ACE CREDIT College and University Network?

Check this list on ACE’s website to see if your school is already part of the ACE CREDIT College and University Network.

If not, discuss this with the advisor at your school, to see if they will accept the ACE Credit Recommendation. 

Please see our knowledge center for more information.

Who approves my courses for college credit?

While the American Council on Education’s College Credit Recommendation Service (ACE CREDIT) has evaluated and recommended college credit for several courses offered by Statistics.com, the decision to accept specific credit recommendations is up to each institution to which you are applying credit.

Who is the American Council on Education (ACE)?

The American Council on Education’s College Credit Recommendation Service (ACE CREDIT) has evaluated and recommended college credit for several courses offered by The Institute for Statistics Education at Statistics.com.

ACE CREDIT’s College and University Network includes 2,200 higher education institutions that consider ACE credit recommendations for transfer to degree programs. The decision to accept specific credit recommendations is up to each institution.

Please see our knowledge center for more information.

How do I find you on the ACE website?

The Institute for Statistics Education eligibility for college credit courses through the American Council on Education (ACE) can be found here on their website.

Please see our knowledge center for more information.

How many courses are ACE college credit eligible?

The Institute for Statistics Education offers 29 courses that are eligible for college credit through the American Council on Education (ACE).

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

Related Courses

Python for Analytics

Introduction to Structural Equation Modeling (SEM)

This course will teach you the fundamental concepts and theory of Structural Equation Modeling, including model specification, model identification, model estimation, model testing, and model modification.
Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: CEU
Class Start Dates: Oct 28, 2022, Oct 27, 2023, Oct 25, 2024

Additional Course Information

Organization of Course

This course takes place online at The Institute for 4 weeks. During each course week, you participate at times of your own choosing – there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirements

About 15 hours per week, at times of your choosing.

Homework

Homework in this course consists of short answer problems and includes exercises that require the use of computer software.  In addition to assigned readings, this course also has an end-of-course project, short narrated software demos, example software codes, and supplemental readings available online.

Course Text

All necessary course materials will be made available online.  If you would like a text, a good optional choice is Latent Variable Modeling Using R by A. Beaujean.

Software

This courses uses the lavaan and SEMPlot packages in R.

Course Fee & Information

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.

Group Rates
Contact us to get information on group rates.

Discounts
Academic affiliation?  In most courses you are eligible for a discount at checkout.

New to Statistics.com?  Click here for a special introductory discount code.  

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Options for Credit and Recognition

This course is eligible for the following credit and recognition options:

No Credit
You may take this course without pursuing credit or a record of completion.

Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

Register for This Course​

Structural Equation Modeling (SEM) Using R
$769 | Enroll Now
Get Notified

Have a Question About This Course?

Janet Dobbins

Sales and Business Development

Phone

(571) 281-8817

Send Us A Note

We like to hear from you.

Name*

Email*

Phone

Company

Message*

 

Send