CRAN/E | subscore

subscore

Computing Subscores in Classical Test Theory and Item Response Theory

Installation

About

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) . 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).

Key Metrics

Version 3.3
R ≥ 3.4.0
Published 2022-05-24 705 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks subscore results

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Maintainer

Maintainer

Shenghai Dai

s.dai@wsu.edu

Authors

Shenghai Dai

aut / cre

Xiaolin Wang

aut

Dubravka Svetina

aut

Material

Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

subscore archive

Depends

R ≥ 3.4.0
CTT
stats
irtoys
sirt
ltm

Imports

cocor
boot