10,000 simulated responses from 1,000 respondents to 10 items.
Simulated data. These responses were generated by a script, not collected from people; see the generating script.
| Description | Data simulated from mirt |
|---|---|
| Reference | Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of statistical Software, 48, 1-29. |
| DOI | 10.18637/jss.v048.i06 |
| Licence | CC BY 4.0 |
| Generating script | https://github.com/ben-domingue/irw/blob/main/data/nominal/mirt.R |
| Responses | 10,000 |
|---|---|
| Respondents | 1,000 |
| Items | 10 |
| Response categories | 3 |
| Responses per respondent | 10 |
| Responses per item | 1,000 |
| Density | 1 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mirt_ggum", source = "sim")
# Python
pip install irw
import irw
df = irw.fetch("mirt_ggum", source="sim")
@article{Chalmers_2012, title={mirt: A Multidimensional Item Response Theory Package for theREnvironment}, volume={48}, ISSN={1548-7660}, url={http://dx.doi.org/10.18637/jss.v048.i06}, DOI={10.18637/jss.v048.i06}, number={6}, journal={Journal of Statistical Software}, publisher={Foundation for Open Access Statistic}, author={Chalmers, R. Philip}, year={2012} }
| IRW version | v439 |
|---|---|
| Redivis dataset | irw_simsyn v1.2 |
| Redivis dataset DOI | 10.57761/t5s5-a326 |
| Manifest pin for this IRW version | v1.1 |
| Metadata source | irw_meta v27.0 |