4,140 simulated responses from 345 respondents to 12 items.
Simulated data. These responses were generated by a script, not collected from people; see the generating script.
| Description | Basic Local Independence Model (BLIM) / Probabilistic Knowledge Structure |
|---|---|
| Reference | Heller, J., & Wickelmaier, F. (2013). Minimum discrepancy estimation in probabilistic knowledge structures. Electronic Notes in Discrete Mathematics, 42, 49-56. |
| DOI | 10.1016/j.endm.2013.05.145 |
| Licence | CC BY 4.0 |
| Generating script | https://cran.r-project.org/web/packages/pks/index.html |
| Responses | 4,140 |
|---|---|
| Respondents | 345 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 12 |
| Responses per item | 345 |
| Density | 1 |
iditemQ_matrix_A1Q_matrix_A2Q_matrix_A3Q_matrix_A4resp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("heller2013_probability", source = "sim")
# Python
pip install irw
import irw
df = irw.fetch("heller2013_probability", source="sim")
@article{Heller_2013, title={Minimum Discrepancy Estimation in Probabilistic Knowledge Structures}, volume={42}, ISSN={1571-0653}, url={http://dx.doi.org/10.1016/j.endm.2013.05.145}, DOI={10.1016/j.endm.2013.05.145}, journal={Electronic Notes in Discrete Mathematics}, publisher={Elsevier BV}, author={Heller, Jürgen and Wickelmaier, Florian}, year={2013}, month=June, pages={49–56} }
| 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 |