18,000 simulated responses from 1,800 respondents to 10 items.
Simulated data. These responses were generated by a script, not collected from people; see the generating script. The cov_true_class, cov_true_theta columns hold the true generating values, which a real dataset would not have.
| Description | Simulated two-class Rasch mixture (Rost 1990, design 2): 1,800 persons x 10 items, item difficulties reversed between classes; true class and ability in cov_true_*, class-specific difficulties in itemcov_true_*. |
|---|---|
| Reference | Rost, J. (1990). Rasch models in latent classes: An integration of two approaches to item analysis. Applied Psychological Measurement, 14(3), 271-282. Generated with psychomix::simRaschmix (Frick, Strobl, Leisch & Zeileis, 2012, Journal of Statistical Software 48(7)). |
| DOI | 10.1177/014662169001400305 |
| Licence | CC0 1.0 |
| Generating script | https://cran.r-project.org/package=psychomix |
| Responses | 18,000 |
|---|---|
| Respondents | 1,800 |
| Items | 10 |
| Response categories | 2 |
| Responses per respondent | 10 |
| Responses per item | 1,800 |
| Density | 1 |
cov_true_classcov_true_thetaiditemitemcov_true_b_class1itemcov_true_b_class2resp
id, item, resp 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("raschmix_rost2_sim", source = "sim")
# Python
pip install irw
import irw
df = irw.fetch("raschmix_rost2_sim", source="sim")
@article{Rost_1990, title={Rasch Models in Latent Classes: An Integration of Two Approaches to Item Analysis}, volume={14}, ISSN={1552-3497}, url={http://dx.doi.org/10.1177/014662169001400305}, DOI={10.1177/014662169001400305}, number={3}, journal={Applied Psychological Measurement}, publisher={SAGE Publications}, author={Rost, Jürgen}, year={1990}, month=Sept, pages={271–282} }
| 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 |