subscore
Computing Subscores in Classical Test Theory and Item Response Theory
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).
- Version3.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/24/2022
Documentation
Team
Shenghai Dai
Xiaolin Wang
Show author detailsRolesAuthorDubravka Svetina
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- Depends4 packages
- Imports2 packages