Functions for computing test subscores using different methods in both classical test theory (CTT) and item response theory (IRT). This package enables three types of subscoring methods within the framework of CTT and IRT, including (1) Wainer's augmentation method (Wainer et. al., 2001) <doi:10.4324/9781410604729>, (2) Haberman's subscoring methods (Haberman, 2008) <doi:10.3102/1076998607302636>, and (3) Yen's objective performance index (OPI; Yen, 1987) <https://www.ets.org/research/policy_research_reports/publications/paper/1987/hrap>. It also includes functions to compute Proportional Reduction of Mean Squared Errors (PRMSEs) in Haberman's methods which are used to examine whether test subscores are of added value. In addition, the package includes a function to assess the local independence assumption of IRT with Yen's Q3 statistic (Yen, 1984 <doi:10.1177/014662168400800201>; Yen, 1993 <doi:10.1111/j.1745-3984.1993.tb00423.x>).
Version: 3.3 Depends: R (≥ 3.4.0), CTT, stats, irtoys, sirt, ltm Imports: cocor, boot Published: 2022-05-24 DOI: 10.32614/CRAN.package.subscore Author: Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut] Maintainer: Shenghai Dai <s.dai at wsu.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no In views: Psychometrics CRAN checks: subscore results Documentation: Reference manual: subscore.pdf Downloads: Package source: subscore_3.3.tar.gz Windows binaries: r-devel: subscore_3.3.zip, r-release: subscore_3.3.zip, r-oldrel: subscore_3.3.zip macOS binaries: r-release (arm64): subscore_3.3.tgz, r-oldrel (arm64): subscore_3.3.tgz, r-release (x86_64): subscore_3.3.tgz, r-oldrel (x86_64): subscore_3.3.tgz Old sources: subscore archive Linking:Please use the canonical form https://CRAN.R-project.org/package=subscore to link to this page.
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