subscore

Computing Subscores in Classical Test Theory and Item Response Theory

Functions for computing subscores for a test using different methods in both classical test theory (CTT) and item response theory (IRT). This package enables three sets of subscoring methods within the framework of CTT and IRT: Wainer's augmentation method, Haberman's three subscoring methods, and Yen's objective performance index (OPI). The package also includes the function 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.

Total

10,331

Last month

558

Last week

141

Average per day

19

Daily downloads

Total downloads

Description file content

Package
subscore
Title
Computing Subscores in Classical Test Theory and Item Response Theory
Version
3.1
Author
Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut]
Maintainer
Shenghai Dai
Description
Functions for computing subscores for a test using different methods in both classical test theory (CTT) and item response theory (IRT). This package enables three sets of subscoring methods within the framework of CTT and IRT: Wainer's augmentation method, Haberman's three subscoring methods, and Yen's objective performance index (OPI). The package also includes the function 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.
Depends
R (>= 3.4.0), CTT, stats, irtoys, sirt, ltm
Imports
cocor, boot
NeedsCompilation
no
Encoding
UTF-8
LazyData
true
License
GPL (>= 2)
RoxygenNote
6.1.1
Packaged
2019-04-12 21:38:11 UTC; s.dai
Repository
CRAN
Date/Publication
2019-04-12 22:13:55 UTC

install.packages('subscore')

3.1

3 months ago

Shenghai Dai

GPL (>= 2)

Depends on

R (>= 3.4.0), CTT, stats, irtoys, sirt, ltm

Imports

cocor, boot

Discussions