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Autor/inn/enLee, Sunbok; Choi, Youn-Jeng; Cohen, Allan S.
TitelAutomating Simulation Research for Item Response Theory Using R
QuelleIn: International Journal of Assessment Tools in Education, 5 (2018) 4, S.682-700 (19 Seiten)
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ZusatzinformationORCID (Lee, Sunbok)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN2148-7456
SchlagwörterItem Response Theory; Simulation; Replication (Evaluation); Automation; Computer Software; Validity
AbstractA 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. (As Provided).
AnmerkungenInternational Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://ijate.net/index.php/ijate
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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