tirt_sim_trt

7,000 simulated responses from 500 respondents to 14 items.

Simulated data. These responses were generated by a script, not collected from people; see the generating script.

About this table

DescriptionData simulated using tirt package
ReferenceXiong J (2026). _tirt: Testlet Item Response Theory_. doi:10.32614/CRAN.package.tirt <https://doi.org/10.32614/CRAN.package.tirt>, R package version 0.2.0, <https://CRAN.R-project.org/package=tirt>.
DOI10.32614/CRAN.package.tirt
LicenceCC0 1.0
Generating scripthttps://github.com/ben-domingue/irw/blob/main/data/simsyn/tirt.R

Size and shape

Responses7,000
Respondents500
Items14
Response categories4
Responses per respondent14
Responses per item500
Density1

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("tirt_sim_trt", source = "sim")
# Python
pip install irw

import irw
df = irw.fetch("tirt_sim_trt", source="sim")

How to cite

@misc{Xiong_2026, title={tirt: Testlet Item Response Theory}, url={http://dx.doi.org/10.32614/CRAN.package.tirt}, DOI={10.32614/cran.package.tirt}, journal={CRAN: Contributed Packages}, publisher={The R Foundation}, author={Xiong, Jiawei}, year={2026}, month=feb }

Version and provenance

IRW versionv439
Redivis datasetirw_simsyn v1.2
Redivis dataset DOI10.57761/t5s5-a326
Manifest pin for this IRW versionv1.1
Metadata sourceirw_meta v27.0