23,596 responses from 1,501 respondents to 384 items.
| Description | Matrix Reasoning Item Bank (MaRs-IB) calibration study: 1,501 online adults, 16 puzzles each from 384 item clones of 64 templates, scored 0/1 with the chosen option (relative to the key) and response time |
|---|---|
| Reference | Zorowitz, S., Chierchia, G., Blakemore, S.-J., & Daw, N. D. (2024). An item response theory analysis of the matrix reasoning item bank (MaRs-IB). Behavior Research Methods, 56(3), 1104-1122. |
| DOI | 10.3758/s13428-023-02067-8 |
| Licence | MIT |
| Source data | https://github.com/ndawlab/mars-irt |
| Responses | 23,596 |
|---|---|
| Respondents | 1,501 |
| Items | 384 |
| Response categories | 2 |
| Responses per respondent | 15.720 |
| Responses per item | 61.448 |
| Density | 0.041 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
cov_agecov_gendercov_test_formiditemitem_familyitemcov_dimensionitemcov_distractoritemcov_shape_setrespresp_rawrt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("zorowitz_2023_marsib")
# Python
pip install irw
import irw
df = irw.fetch("zorowitz_2023_marsib")
@article{Zorowitz_2023, title={An item response theory analysis of the matrix reasoning item bank (MaRs-IB)}, volume={56}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-023-02067-8}, DOI={10.3758/s13428-023-02067-8}, number={3}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Zorowitz, Samuel and Chierchia, Gabriele and Blakemore, Sarah-Jayne and Daw, Nathaniel D.}, year={2023}, month=Apr, pages={1104–1122} }
| IRW version | v470 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v4.0 |
| Redivis dataset DOI | 10.57761/4e8w-c240 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v29.0 |