36,775 responses from 1,471 respondents to 25 items.
| Description | PVMT task data |
|---|---|
| Reference | Wilmer, J. B., Germine, L., Chabris, C. F., Chatterjee, G., Gerbasi, M. & Nakayama, K. (2012): Capturing specific abilities as a window into human individuality: The example of face recognition, Cognitive Neuropsychology, 29, 360-392 |
| DOI | 10.1080/02643294.2012.753433 |
| Licence | GPL-2.0 |
| Source data | https://cran.r-project.org/web/packages/MPsychoR/index.html |
| Responses | 36,775 |
|---|---|
| Respondents | 1,471 |
| Items | 25 |
| Response categories | 2 |
| Responses per respondent | 25 |
| Responses per item | 1,471 |
| Density | 1 |
| Longitudinal | FALSE |
| 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 | Verbal Paired-Associates Memory Test (VPMT) |
ageiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mpsycho_wilmer")
# Python
pip install irw
import irw
df = irw.fetch("mpsycho_wilmer")
| 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 |