Item Response theory

Item Response theory

  • 28/06/2021
    1:00 pm - 2:30 pm

Course details

statistics seminar | level: intermediate | register now
for questions related to this event, contact ugent@flames-statistics.com
affiliation: Ghent University


Abstract

In Item response theory Latent scores are estimated on tests that are made up of items that are scored as dichotomous or polytomous. Just as with SEM models, a latent variable is modeled to cause the variation in the item responses. However, IRT accounts for item difficulty and discrimination. In this seminar, we will practice fitting IRT models using the ltm and mirt packages in R. We will begin with dichotomous data and then explore two models used for estimating scores from polytomous data: the graded response model and the partial credit model.


Prerequisites

Basic knowledge of SEM


Background readings

The Basics of Item Response Theory Using R (Statistics for Social and Behavioral Sciences) - Kindle edition by Baker, Frank B., Kim, Seock-Ho


Erin M. Buchanan. Missouri State University. https://www.youtube.com/watch?v=VtWsyUCGfhg&t=289s


Fee

free


Venue

Online


Instructor

Emmanuel Abatih


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