TY  - JOUR
T1  - Automating Simulation Research for Item Response Theory using R
TT  - Automating Simulation Research for Item Response Theory using R
AU  - Lee, Sunbok
AU  - Choi, Youn-jeng
AU  - Cohen, Allan S.
PY  - 2018
DA  - December
DO  - 10.21449/ijate.472185
JF  - International Journal of Assessment Tools in Education
JO  - Int. J. Assess. Tools Educ.
PB  - İzzet KARA
WT  - DergiPark
SN  - 2148-7456
SP  - 682
EP  - 700
VL  - 5
IS  - 4
LA  - en
AB  - A simulation study is a useful tool in examininghow 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, arenot well suited for a simulation study requiring a large number of replicationsbecause they were developed as a stand-alone software package that is best suitedfor a single run. This article demonstrated how built-in R functions can be usedto 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 usedin this article can be applied for a simulation study using other stand-alone softwarepackages as well.
KW  - IRT
KW  - Simulation
KW  - R
N2  - 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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UR  - https://doi.org/10.21449/ijate.472185
L1  - https://dergipark.org.tr/en/download/article-file/556688
ER  -