29,659 responses from 1,561 respondents to 19 items.
| Description | Test of era-based knowledge using popular songs |
|---|---|
| Reference | Hartman, R., Moss, A.J., Rabinowitz, I. et al. Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online. Behav Res 55, 3313–3325 (2023). https://doi.org/10.3758/s13428-022-01944-y |
| DOI | 10.3758/s13428-022-01944-y |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/bn4xy/?view_only=7252e963f3bd4c0c981eed6ddd085ee8 |
| Responses | 29,659 |
|---|---|
| Respondents | 1,561 |
| Items | 19 |
| Response categories | 2 |
| Responses per respondent | 19 |
| Responses per item | 1,561 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online |
cov_agegroupiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wooly_hartman2022")
# Python
pip install irw
import irw
df = irw.fetch("wooly_hartman2022")
| 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 |