peters_2025_hw_frequency

498,162 responses from 71,166 respondents to 7 items.

About this table

DescriptionCOVID-19 Risk Tool: hand-washing situations/frequency checklist (7 items, binary), N~71,200
ReferencePeters, 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
DOI10.3758/s13428-025-02743-x
LicenceODbL 1.0
Source datahttps://gitlab.com/a-bc/your-covid-19-risk-data

Size and shape

Responses498,162
Respondents71,166
Items7
Response categories2
Responses per respondent7
Responses per item71,166
Density1
LongitudinalTRUE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response

Columns

cov_age_bandcov_countrycov_gendercov_languagecov_lastpagedateiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_frequency")
# Python
pip install irw

import irw
df = irw.fetch("peters_2025_hw_frequency")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0