20,000 simulated responses from 1,000 respondents to 20 items.
Simulated data. These responses were generated by a script, not collected from people; see the generating script. The cov_true_speed, cov_true_theta columns hold the true generating values, which a real dataset would not have.
| Description | Simulated joint response accuracy and response time (van der Linden hierarchical framework): 1,000 persons x 20 items, normal-ogive accuracy and lognormal times; true ability and speed in cov_true_*, true item accuracy and time parameters in itemcov_true_*. |
|---|---|
| Reference | van der Linden, W. J. (2007). A hierarchical framework for modeling speed and accuracy on test items. Psychometrika, 72(3), 287-308. Generated with LNIRT::simLNIRT (Fox, J.-P., & Klotzke, K., LNIRT R package, version 0.5.1). |
| DOI | 10.1007/s11336-006-1478-z |
| Licence | CC0 1.0 |
| Generating script | https://cran.r-project.org/package=LNIRT |
| Responses | 20,000 |
|---|---|
| Respondents | 1,000 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 20 |
| Responses per item | 1,000 |
| Density | 1 |
cov_true_speedcov_true_thetaiditemitemcov_true_aitemcov_true_bitemcov_true_lambdaitemcov_true_phiitemcov_true_sigma2resprt
id, item, resp, rt are defined in the IRW data standard and mean the same in every table. The other columns are set by the generating script.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("lnirt_sim", source = "sim")
# Python
pip install irw
import irw
df = irw.fetch("lnirt_sim", source="sim")
@article{van_der_Linden_2007, title={A Hierarchical Framework for Modeling Speed and Accuracy on Test Items}, volume={72}, ISSN={1860-0980}, url={http://dx.doi.org/10.1007/s11336-006-1478-z}, DOI={10.1007/s11336-006-1478-z}, number={3}, journal={Psychometrika}, publisher={Cambridge University Press (CUP)}, author={van der Linden, Wim J.}, year={2007}, month=Sept, pages={287–308} }
| IRW version | v581 |
|---|---|
| Redivis dataset | irw_simsyn v1.4 |
| Redivis dataset DOI | 10.57761/d90d-aa22 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |