18,000 simulated responses from 1,000 respondents to 6 items.
Simulated data. These responses were generated by a script, not collected from people; see the generating script. The cov_true_theta column holds the true generating values, which a real dataset would not have.
| Description | Simulated rater effects under the hierarchical rater model: 1,000 persons x 6 items x 3 raters (fully crossed), scores 0-3; raters differ in bias and variability. True ability in cov_true_theta, item parameters and item-by-rater bias (phi) and variability (psi) in itemcov_true_*; rater column identifies the rater. |
|---|---|
| Reference | Patz, R. J., Junker, B. W., Johnson, M. S., & Mariano, L. T. (2002). The hierarchical rater model for rated test items and its application to large-scale educational assessment data. Journal of Educational and Behavioral Statistics, 27(4), 341-384. Generated with immer::immer_hrm_simulate (Robitzsch, A., & Steinfeld, J., immer R package, version 1.5.13). |
| DOI | 10.3102/10769986027004341 |
| Licence | CC0 1.0 |
| Generating script | https://cran.r-project.org/package=immer |
| Responses | 18,000 |
|---|---|
| Respondents | 1,000 |
| Items | 6 |
| Response categories | 4 |
| Responses per respondent | 18 |
| Responses per item | 3,000 |
| Density | 3 |
cov_true_thetaiditemitemcov_true_aitemcov_true_b1itemcov_true_b2itemcov_true_b3itemcov_true_phi_rater1itemcov_true_phi_rater2itemcov_true_phi_rater3itemcov_true_psi_rater1itemcov_true_psi_rater2itemcov_true_psi_rater3raterresp
id, item, rater, 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("hrm_rater_sim", source = "sim")
# Python
pip install irw
import irw
df = irw.fetch("hrm_rater_sim", source="sim")
@article{Patz_2002, title={The Hierarchical Rater Model for Rated Test Items and its Application to Large-Scale Educational Assessment Data}, volume={27}, ISSN={1935-1054}, url={http://dx.doi.org/10.3102/10769986027004341}, DOI={10.3102/10769986027004341}, number={4}, journal={Journal of Educational and Behavioral Statistics}, publisher={American Educational Research Association (AERA)}, author={Patz, Richard J. and Junker, Brian W. and Johnson, Matthew S. and Mariano, Louis T.}, year={2002}, month=Dec, pages={341–384} }
| 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 |