Item Response Theory with Mplus and Stata
Tenko Raykov teaches IRT in this on-demand course.
In this self-paced online workshop, Dr. Tenko Raykov provides in-depth tutorials on analyzing and interpreting IRT models in Mplus & Stata. Use the dropdown menu below to see what’s included in this 3-module course:
Session 1: Welcome & Overview of the Course
FREE PREVIEWHandouts, Example Data, and Syntax Files
Session 2: Overview of Item Response Theory (IRT)
FREE PREVIEWSession 3: Introduction to Mplus
Session 4: Introduction to STATA
Session 5: A Start-Up Example
Session 6: The 2-Parameter Logistic Model
Session 7: The 1- and 3-Parameter Logistic Models
Session 8: Information and Item Information Functions
Session 9: Test Information Function and Test Characteristic Curve
Session 10: Scoring of Studied Persons
Session 11: Differential Item Functioning
Session 12: First Steps with Polytomous IRT Models
Session 13: The Partial Credit Model
Session 14: The Generalized Partial Credit Model
Session 15: The Graded Response Model and Model Choice
Session 16: Introduction to Multidimensional IRT
Session 17: Exploring the Structure of a Multi-Item Measuring Instrument
Session 18: Testing a Multidimensional IRT Model
Session 19: Item Response Theory Models with Covariates
Session 20: Hybrid Item Response Theory Models
Session 21: Outlook and Conclusion
Tenko Raykov, PhD
Dr. Rakov is a Professor of methods and quantitative measurement a Michigan State University. His research and books focus on psychometrics and structural equation modeling.
IRT with Mplus & Stata is available 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, or bank transfer (euros & GPB). Bank transfer instructions are here.
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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This course is taught with Mplus and Stata.
This course is for learners with a foundational knowledge of regression analysis. Prior experience with Mplus and Stata are not required.
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. (Quantfish Unlimited users are on yearly contracts).
Dr. Raykov 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 additional consultation, you can contact him through the course platform.
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QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists. IRT with Mplus & Stata is backed by a complete money-back guarantee for 7 days following the start of the course.