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Dergiler / 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
Sayfa
682–700
Yayın Tarihi
2022-10-19
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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 Maddede Bu Makale

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Amaç & Hipotez:A simulation study is a useful tool in examining how validly item response theory (IRT) models can be applied in various settings.
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Temel Bulgular & Veri:This article demonstrated how built-in R functions can be used to automate the simulation study using the stand-alone software packages in IRT.
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Sonuç & Katkı: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.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:IRT · Simulation · IRT

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.

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.

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Bu Makaleye Atıf Yap

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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Kaynakça (12)

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