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>).
| Version: |
3.3 |
| Depends: |
R (≥ 3.4.0), CTT, stats, irtoys, sirt, ltm |
| Imports: |
cocor, boot |
| Published: |
2022-05-24 |
| 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 |
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