Reporting Subscores Using R: A Software Review

Shenghai Dai, Dubravka Svetina and Xiaolin Wang

Journal of Educational and Behavioral Statistics, 2017, vol. 42, issue 5, 617-638

Abstract: 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.

Keywords: subscore reporting; added value; psychometric quality; R packages (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:42:y:2017:i:5:p:617-638

DOI: 10.3102/1076998617716462

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