Using R for Item Response Theory

February 1, 2020

Abstract

Guest lecture introducing R for estimating and evaluating item response theory models.

Date

February 24, 2020

Time

1:30 PM – 4:00 PM

Location

Lawrence, KS

Event

EPSY 922, University of Kansas

This workshop was delivered as a guest lecture to a graduate level psychometrics course and provided an introduction to using R for Item Response Theory (IRT). Students learned how to estimate IRT model with both dichotomous and polytomous item responses using the mirt package. We also gave students the tools needed to explore and evaluate their estimated models. Along the way, we introduced several tidyverse packages including dplyr and ggplot2.

Posted on:
February 1, 2020
Length:
1 minute read, 70 words
Categories:
lecture R psychometrics
Tags:
irt ggplot2
See Also:
Tidy Data Science with the tidyverse and tidymodels
Tidy Data Science with the `tidyverse` and `tidymodels`
Applications of Item Response Theory in R