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.
One of 2 tables from the same source. The others are listed under Related tables.
| 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
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("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 | v566 |
|---|---|
| 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 v43.0 |