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ERIC Number: EJ1153809
Record Type: Journal
Publication Date: 2017-Oct
Pages: 22
Abstractor: As Provided
ISSN: ISSN-1076-9986
Reporting Subscores Using R: A Software Review
Dai, Shenghai; Svetina, Dubravka; Wang, Xiaolin
Journal of Educational and Behavioral Statistics, v42 n5 p617-638 Oct 2017
There is an increasing interest in reporting test subscores for diagnostic purposes. In this article, we review nine popular R packages (subscore, mirt, TAM, sirt, CDM, NPCD, lavaan, sem, and OpenMX) that are capable of implementing subscore-reporting methods within one or more frameworks including classical test theory, multidimensional item response theory, cognitive diagnostic models, and factor analysis. A real data example is used to illustrate how to examine whether subscores should be reported and how to obtain subscores. We also briefly compare the features of selected packages for reporting subscores.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A