Package: subscore 3.3
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>).
Authors:
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subscore.pdf |subscore.html✨
subscore/json (API)
# Install 'subscore' in R: |
install.packages('subscore', repos = c('https://daiscode.r-universe.dev', 'https://cloud.r-project.org')) |
- TIMSS11G8M.data - The 2011 TIMSS Grade 8 Mathematics Assessment Dataset
- scored.data - Sample scored data
- test.data - A list of objects that include both test information and subscores.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:e84c61801a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:CTTsubdata.prepsubscore.corrsubscore.ssubscore.sxsubscore.Wainersubscore.xYen.OPIYen.Q3
Dependencies:admiscbootCDMclicocorCTTexpmfansigenericsglueirtoyslatticelifecycleltmmagrittrMASSMatrixmsmmvtnormpbapplypbvpillarpkgconfigpolycorRcppRcppArmadillorlangsirtsmsurvivalTAMtibbleutf8vctrs