24,880 responses from 1,244 respondents to 20 items.
| Description | Measures abstract reasoning ability through figural pattern completion tasks. |
|---|---|
| Reference | Much, S., Mutak, A., Pohl, S., & Ranger, J. (2025). Data From a Validation Study of Two Psychometric Models on Test-taking Behavior. Journal of Open Psychology Data, 13(1). |
| DOI | 10.5334/jopd.124 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/9j6hm/ |
| Responses | 24,880 |
|---|---|
| Respondents | 1,244 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 20 |
| Responses per item | 1,244 |
| Density | 1 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | reasoning |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Open Matrices Item Bank (OMIB) matrix reasoning test |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 8 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_countrycov_devicecov_educationcov_gendercov_languagegroupiditemraw_respresprtwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("much_tte_2025_matrixreasoning")
# Python
pip install irw
import irw
df = irw.fetch("much_tte_2025_matrixreasoning")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |