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Journals / International Journal of Assessment Tools in Education / 2018 / Cilt: 5 - Sayı: 4

Automating Simulation Research for Item Response Theory using R

Allan S. COHEN
Youn-Jeng CHOI
Sunbok LEE
Pages
682–700
Publication Date
2022-10-19
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

For a demonstration purpose, MULTILOG was used in the example codes in the appendices, but the overall framework of a simulation study and the built-in R functions used in this article can be applied for a simulation study using other stand-alone software packages as well.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings.
📊
Key Findings & Data:This article demonstrated how built-in R functions can be used to automate the simulation study using the stand-alone software packages in IRT.
💡
Conclusion & Impact:For a demonstration purpose, MULTILOG was used in the example codes in the appendices, but the overall framework of a simulation study and the built-in R functions used in this article can be applied for a simulation study using other stand-alone software packages as well.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:IRT · Simulation · IRT

Abstract

A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings. Typically, a large number of replications are required to obtain the desired precision. However, many standard software packages in IRT, such as MULTILOG and BILOG, are not well suited for a simulation study requiring a large number of replications because they were developed as a stand-alone software package that is best suited for a single run. This article demonstrated how built-in R functions can be used to automate the simulation study using the stand-alone software packages in IRT. For a demonstration purpose, MULTILOG was used in the example codes in the appendices, but the overall framework of a simulation study and the built-in R functions used in this article can be applied for a simulation study using other stand-alone software packages as well.

Özet

A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings. Typically, a large number of replications are required to obtain the desired precision. However, many standard software packages in IRT, such as MULTILOG and BILOG, are not well suited for a simulation study requiring a large number of replications because they were developed as a stand-alone software package that is best suited for a single run. This article demonstrated how built-in R functions can be used to automate the simulation study using the stand-alone software packages in IRT. For a demonstration purpose, MULTILOG was used in the example codes in the appendices, but the overall framework of a simulation study and the built-in R functions used in this article can be applied for a simulation study using other stand-alone software packages as well.

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Cite This Article

COHEN, A. S., CHOI, Y., LEE, S. (2022). Automating Simulation Research for Item Response Theory using R. International Journal of Assessment Tools in Education, Cilt: 5 - Sayı: 4, 682–700. https://ajindex.com/articles/540212

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