40,000 simulated responses from 1,000 respondents to 40 items.
Simulated data. These responses were generated by a script, not collected from people; see the generating script. The cov_true_speeded, cov_true_tau, cov_true_theta columns hold the true generating values, which a real dataset would not have.
| Description | Simulated test speededness with end-of-test rapid guessing: 1,000 persons x 40 items, 3PL scores and lognormal times; 10% of examinees guess (P = .25, 1-10 s) on the last 4 items after a change point. True ability, speed and speeded flag in cov_true_*, true item parameters and speeded-block flag in itemcov_true_*. |
|---|---|
| Reference | Shao, C., Li, J., & Cheng, Y. (2016). Detection of test speededness using change-point analysis. Psychometrika, 81(4), 1118-1141. Generated with aberrance::sim (Gorney, K., & Deng, J., aberrance R package, version 0.3.0). |
| DOI | 10.1007/s11336-015-9476-7 |
| Licence | CC0 1.0 |
| Generating script | https://cran.r-project.org/package=aberrance |
| Responses | 40,000 |
|---|---|
| Respondents | 1,000 |
| Items | 40 |
| Response categories | 2 |
| Responses per respondent | 40 |
| Responses per item | 1,000 |
| Density | 1 |
cov_true_speededcov_true_taucov_true_thetaiditemitemcov_true_aitemcov_true_alphaitemcov_true_bitemcov_true_betaitemcov_true_citemcov_true_speeded_blockresprt
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("aberrance_speeded_sim", source = "sim")
# Python
pip install irw
import irw
df = irw.fetch("aberrance_speeded_sim", source="sim")
@article{Shao_2016, title={Detection of Test Speededness Using Change-Point Analysis}, volume={81}, ISSN={1860-0980}, url={http://dx.doi.org/10.1007/s11336-015-9476-7}, DOI={10.1007/s11336-015-9476-7}, number={4}, journal={Psychometrika}, publisher={Cambridge University Press (CUP)}, author={Shao, Can and Li, Jun and Cheng, Ying}, year={2016}, month=Dec, pages={1118–1141} }
| 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 |