Applications of Item Response Theory in R

By W. Jake Thompson in R workshop psychometrics

February 24, 2020

This workshop provides an overview for applying Item Response Theory (IRT) models in R. This includes estimating IRT models, visualizing the estimated parameters, calculating test-level characteristics, and evaluating model fit. The IRT analyses are primarily conducted using the mirt package. Along the way, we introduce several tidyverse functions for transforming and visualizing data.

See the workshop websites for more, including links to the GitHub repositories for all workshop materials.

Posted on:
February 24, 2020
1 minute read, 69 words
R workshop psychometrics
tidyverse irt
See Also:
Tidy Data Science with the tidyverse and tidymodels
Tidy Data Science with the `tidyverse` and `tidymodels`
Using R for Item Response Theory