CRAN/E | shortIRT

shortIRT

Procedures Based on Item Response Theory Models for the Development of Short Test Forms

Installation

About

Implement different Item Response Theory (IRT) based procedures for the development of static short test forms (STFs) from a test. Two main procedures are considered, specifically the typical IRT-based procedure for the development of STF, and a recently introduced procedure (Epifania, Anselmi & Robusto, 2022 doi:10.1007/978-3-031-27781-8_7). The procedures differ in how the most informative items are selected for the inclusion in the STF, either by considering their item information functions without considering any specific level of the latent trait (typical procedure) or by considering their informativeness with respect to specific levels of the latent trait, denoted as theta targets (the newly introduced procedure). Regarding the latter procedure, three methods are implemented for the definition of the theta targets: (i) theta targets are defined by segmenting the latent trait in equal intervals and considering the midpoint of each interval (equal interval procedure, eip), (ii) by clustering the latent trait to obtain unequal intervals and considering the centroids of the clusters as the theta targets (unequal intervals procedure, uip), and (iii) by letting the user set the specific theta targets of interest (user-defined procedure, udp). For further details on the procedure, please refer to Epifania, Anselmi & Robusto (2022) doi:10.1007/978-3-031-27781-8_7.

Key Metrics

Version 0.1.3
Published 2024-02-16 73 days ago
Needs compilation? no
License MIT
License File
CRAN checks shortIRT results

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Maintainer

Maintainer

Ottavia M. Epifania

ottavia.epifania@unipd.it

Authors

Ottavia M. Epifania

aut / cre / cph

Pasquale Anselmi

aut / ctb

Egidio Robusto

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

shortIRT archive

Imports

stats
TAM
dplyr
ggplot2

Suggests

rmarkdown
sirt
testthat ≥ 3.0.0
V8