|Where:||Join us from anywhere!|
|Cost:||Free—but registrations are limited|
Item response theory (IRT) models are used extensively in the study of cognitive and personality traits, health outcomes, and the development of item banks and computerized adaptive testing. These models are used to calibrate and evaluate items in tests and to measure some trait or ability of the respondents.
Join us for an introduction to Stata’s IRT features. In this webinar, we will provide a brief introduction to item response theory and demonstrate analyses using Stata’s irt suite of commands. This webinar covers 1PL, 2PL, and 3PL models for binary items and graded response models for ordinal items. We will create and interpret plots of item characteristic curves (ICCs), test characteristic curves, and item and test information functions. We will also investigate whether test items behave differently across respondents using differential item function (DIF) methods.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start of the course with instructions on how to access the webinar.
Meghan Cain is a Senior Statistician at StataCorp. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she develops and presents training on these and other topics. She also conducts webinars, works with developers to produce Stata documentation, and contributes to Stata blogs.