Learn SEM with Free, No-Code Software

In this beginner-friendly, hands-on course, Christian Geiser walks you through each step of performing your first structural equation models--from preparing your dataset, to writing syntax--all the way to reporting results for publications, theses, or dissertations. This course covers a variety of free, no-code software packages for quick and easy learning. Use the dropdown menu below to see what’s included:

    1. Welcome to the Course!

    2. Course Handouts & References

    3. Session 1: Review Linear Regression Analysis

      FREE PREVIEW

    4. Session 2: Introduction to Path Analysis & Mediation

    5. Session 3: Path Analysis in JASP (via SEM)

    6. Session 4: Path Analysis in JASP (via Process)

    7. Session 5: Path Analysis in jamovi (via medmod)

    8. Session 6: Path Analysis in jamovi (via SEM pathj)

    9. Session 7: Path Analysis using lavaangui

      FREE PREVIEW

    1. Session 1: Introduction to CFA

    2. Session 2: Model Identification

    3. Session 3: Model Fit Assessment

    4. Session 4: CFA in JASP

    5. Session 5: CFA in jamovi

    6. Session 6: CFA using lavaangui

    7. Session 7: Multigroup CFA & Measurement Invariance

    8. Session 8: Multigroup CFA & Measurement Invariance in JASP

    9. Session 9: Multigroup CFA & Measurement Invariance in jamovi

    10. Session 10: Latent Growth Curve Models

    11. Session 11: Latent Growth Curve Models in JASP

    12. Session 12: Latent Growth Curve Models using lavaangui

    1. Session 1: Introduction to SEM

    2. Session 2: SEM in jamovi

    3. Session 3: SEM in JASP

    4. Session 4: SEM with lavaangui

    5. Session 5: Are SEMs Causal Models?

    6. Session 6: Introduction to Longitudinal SEM

    7. Session 7: Non-Normal & Ordinal Data in SEM

    8. Session 8: Sample-Size Planning

    9. Session 9: Troubleshooting

    10. Session 10: Reporting Results

    11. Session 11: Advantages & Limitations of SEM

About this course

  • 32 lessons
  • 6.5 hours of video content

Meet Your Instructor

Dr. Christian Geiser


Dr. Christian Geiser is the Director of Education at Quantfish, former professor of quantitative psychology, and author of two books on Mplus.   As a leader in the development of latent variable techniques with complex data, he has helped thousands of researchers and students around the world to achieve their analytic goals.   This course is a part of a companion series of workshops to his books and articles.    


Pricing

Tax-exempt institutions in the United States, please start here.

No-Code Structural Equation Modeling is open for immediate access.

Please contact us if you need an invoice prior to purchase or have a larger group.

Payment is accepted by credit card, Paypal, WeChat, or bank transfer (euros & GPB). Contact us for bank transfer instructions or WeChat invoicing.

Group licenses provide the lowest per-person cost.

Further discounts are available for researchers working in LMICs; apply here to get started.

Need to wait for approval from your institution?

Contact us so we can help you with your paperwork:

CONTACT US

FAQ

  • What level of statistical training is required for the course?

    This course is for learners with a foundational knowledge of regression analysis.

  • What if I can't take the course all at once?

    The timing is entirely up to you. Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.

  • Will you give me feedback on my analyses?

    Dr. Geiser is happy to answer questions related to course content and Quantfish promptly resolves any technical issues related to the course platform. If you are interested in personal consultation on your own data, please contact us to get started.

How the Course Works

Follow these steps to get started:

  • 1. Enroll in the Course

    You will receive a payment receipt by email. No-Code SEM is available to start whenever you're ready.

  • 2. Start Learning

    Begin the course when the time is right for you. Visit your student dashboard, click on the course, and watch Dr. Geiser's introductory video to get started. Subsequent lessons are shown to you in sequential order, along with the PDF resources. Plan on each day (module) to take about three hours, plus practice time. At the completion of the course, we will provide a certificate of completion that you can use for your own professional needs.

  • 3. Share Your Success!

    The best part of our work here at QuantFish is seeing our trainees implement their newfound analytic skills in their own research. We LOVE hearing about published papers and successful defenses. Find us on social media or shoot us an email so we can celebrate with you!

Additional Courses You May Find Helpful:

Let's Keep in Touch

New courses are always coming! Add your email to our list to get the latest updates.

Thank You

Satisfaction Guarantee

QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists.  No-Code Structural Equation Modeling is backed by a complete money-back guarantee for 7 days following the start of the course.