24.013 - PDC15: Using R Software for Item Response Theory (IRT) Model Calibrations

Session Type: Professional Development Course

Abstract

This interactive training course will introduce the concepts of unidimensional and multidimensional IRT models and provide instruction, demonstration, and hands-on opportunities to use the free R software to estimate commonly used IRT models. Concepts of commonly used unidimensional and multidimensional IRT models will be taught (e.g., Rasch, 1PL, 2PL, 3PL, GR, and GPC), with little focus on statistical theory. Participants will receive detailed training on how to execute the eRm, ltm, and mirt IRT packages and interpret the results, with ample opportunities for hands-on analysis. Example datasets will be provided for practical applications. Prior knowledge of R and/or IRT is not required, but a basic understanding of elementary and intermediate statistics is recommended. Familiarity with writing syntax may also be helpful for using R but is not essential. The target audience for this course includes graduate students, practitioners, and researchers interested in advancing their knowledge of IRT and enhancing their skills in using R to do IRT analysis. Participants should bring their own laptops with the free R software installed. Instructions for downloading R and installing the necessary packages will be provided prior to the course.

Sub Unit

• Professional Development and Training Committee

Instructors

• Ki Matlock Cole, Oklahoma State University

• Insu Paek, Florida State University

• Taeyoung Kim, University at Buffalo - SUNY