Measurement Invariance Workshop

In this self-paced online course, Dr. Nataly Beribisky gives in-depth tutorials on analyzing and interpreting measurement invariance tests using R. With crystal clear hands-on lessons, she’ll take you through each step of a variety of models. Use the dropdown menu below to see what’s included in this course:

    1. Session 1: Introduction to Measurement Invariance

    2. Course Handouts

    3. Session 2: Importance of Measurement Invariance

      FREE PREVIEW

    4. Session 3: Review of Confirmatory Factor Analysis

    5. Session 4: Review Model Fit Evaluation in Confirmatory Factor Analysis

    6. Session 5: Introducing and Installing R Software

    7. Session 6: Introduction to R Programming

    8. Session 7: Introduction to lavaan

    1. Session 1: Introduction to Multi-Group Models

    2. Session 2: Overview of Invariance Testing

      FREE PREVIEW

    3. Session 3: Testing Configural Invariance

    4. Session 4: Testing (Weak) Metric Invariance

    5. Session 5: Testing Scalar (Strong) Invariance

    6. Session 6: Testing Residual (Strict) Invariance

    7. Session 7: Evaluating Model Fit and Model Comparisons

    8. Session 8: Demonstration in R: Running Configural and Metric Invariance Testing

    9. Session 9: Demonstration in R: Running Scalar and Residual Invariance Testing

    1. Session 1: Longitudinal CFA and Measurement Invariance Over Time

    2. Session 2: Demonstration in R: Longitudinal Invariance Testing (Configural and Metric)

    3. Session 3: Demonstration in R: Longitudinal Invariance Testing (Scalar and Strict)

    4. Session 4: Introduction to Invariance Testing with Ordinal Indicators

    5. Session 5: Demonstration R: Ordered Categorical Data (Configural and Metric)

    6. Session 6: Demonstration R: Ordered Categorical Data (Scalar and Beyond)

    1. Session 1: How to Identify Non-Invariant Items

    2. Session 2: Demonstration in R: Identifying Non-Invariant Items

    3. Session 3: Conceptual and Practical Consequences when Invariance Fails

    4. Session 4: Introduction to Partial Invariance

    5. Session 5: Reporting and Communicating Invariance Results

    6. Session 6: Review and Next Steps

  • 29 lessons
  • 4.5 hours of video content
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Meet Your Instructor

Nataly Beribisky, PhD


Nataly Beribisky is a researcher in Quantitative Methods at York University.  Her research focuses on latent variable modeling, equivalence testing, and interpreting effect sizes. 

Pricing

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

Measurement Invariance Testing with R is currently open for pre-registration and will be available to start on November 14th, 2025. Prices go up when the course goes live on this date.

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.

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Contact us so we can help you with your paperwork:

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FAQ

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

    This course is for learners with foundational training in graduate level statistics. Prior experience with R or measurement invariance is not required.

  • I won't be able to complete this course all at once. Is the timing flexible?

    Yes! 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?

    The instructors can answer questions related to course content and Quantfish promptly resolves any technical issues related to the course platform. Additional consultation is a separate service and handled directly with the instructor.

How the Course Works

Follow these steps to get started:

  • 1. Enroll in the Course

    You will receive a payment receipt by email from QuantFish and instructions for accessing your Student Dashboard. Measurement Invariance Testing with R will be available to start on November 14th, 2025.

  • 2. Start Learning

    Begin the course when the time is right for you. Visit your student dashboard, click on the course, and watch the 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 LinkedIn or Twitter or shoot us an email so we can celebrate with you!

Let's Keep in Touch

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Thank You

Satisfaction Guarantee

QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists.  Measurement Invariance with R  is backed by a complete money-back guarantee for 7 days following the start of the course.