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subscore
View on CRAN: Click
here
Download and install subscore package within the R console
Install from CRAN:
install.packages("subscore")
Install from Github:
library("remotes")
install_github("cran/subscore") Install by package version:
library("remotes")
install_version("subscore", "3.3") Attach the package and use:
library("subscore")
Maintained by
Shenghai Dai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-19
Latest Update: 2022-05-24
Description:
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>).
How to cite:
Shenghai Dai (2015). subscore: Computing Subscores in Classical Test Theory and Item Response Theory. R package version 3.3, https://cran.r-project.org/web/packages/subscore. Accessed 26 Aug. 2026.
Previous versions and publish date:
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Complete documentation for subscore
Functions, R codes and Examples using
the subscore R package
Some associated functions: CTTsub . TIMSS11G8M.data . Yen.OPI . Yen.Q3 . data.prep . scored.data . subscore.Wainer . subscore.corr . subscore.s . subscore.sx . subscore.x . test.data .
Some associated R codes: CTTsub.R . Yen.OPI.R . data.prep.R . subscore.Wainer.R . subscore.sx.R . subscore.x.R . Full subscore package functions and examples
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