11,496 responses from 479 respondents to 12 items.
| Description | Raven’s Advanced Progressive Matrices – 12-item Timed (APM-12 T): Measures fluid intelligence using a 12-item online matrix reasoning task with 60-second time limits per item. Designed to reduce test time variability and participant burden in online assessments. |
|---|---|
| Reference | Poulton, A., Rutherford, K., Boothe, S., Brygel, M., Crole, A., Dali, G., ... & Hester, R. (2022). Evaluating untimed and timed abridged versions of Raven’s Advanced Progressive Matrices. Journal of Clinical and Experimental Neuropsychology, 44(1), 73-84. |
| DOI | 10.1080/13803395.2022.2080185 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/ry23m/ |
| Responses | 11,496 |
|---|---|
| Respondents | 479 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 24 |
| Responses per item | 958 |
| Density | 2 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, General/non-specific |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Raven’s Advanced Progressive Matrices – 12-item Timed (APM-12 T) |
cov_agecov_gendercov_work_statuscov_years_educationiditemresprtwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rapm_poulton_2022_timed")
# Python
pip install irw
import irw
df = irw.fetch("rapm_poulton_2022_timed")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |