280,264 responses from 70,066 respondents to 4 items.
| Description | COVID-19 Risk Tool: hand-washing intensity/thoroughness checklist (4 items, binary), N~70,100 |
|---|---|
| Reference | Peters, G.-J., Kwasnicka, D., ten Hoor, G. A., Crutzen, R., Varol, T., Warner, L. M., Algargoosh, M., Ali, E. E., Anwar, M., Asih, S. R., Baltas, Z. F., Berry, E., Beyene, K., Campbell, K. A., Carneiro, B. M., Castillo-Eito, L., Chan, A. H. Y., Chan, S. S.-H., Cipolletta, S., ... Roozen, S. (2025). Collecting behavioural data across countries during pandemics: Development of the COVID-19 Risk Assessment Tool. Behavior Research Methods, 57(8), Article 223. https://doi.org/10.3758/s13428-025-02743-x |
| DOI | 10.3758/s13428-025-02743-x |
| Licence | ODbL 1.0 |
| Source data | https://gitlab.com/a-bc/your-covid-19-risk-data |
| Responses | 280,264 |
|---|---|
| Respondents | 70,066 |
| Items | 4 |
| Response categories | 2 |
| Responses per respondent | 4 |
| Responses per item | 70,066 |
| Density | 1 |
| Longitudinal | TRUE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
cov_age_bandcov_countrycov_gendercov_languagecov_lastpagedateiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("peters_2025_hw_intensity")
# Python
pip install irw
import irw
df = irw.fetch("peters_2025_hw_intensity")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |