peters_2025_ciberlite

10,310 responses from 9,398 respondents to 8 items.

About this table

DescriptionCIBER-lite brief combined Reasoned Action Approach measure (attitude/norm/PBC)
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

Responses10,310
Respondents9,398
Items8
Response categories7
Responses per respondent1.097
Responses per item1288.750
Density0.137
LongitudinalTRUE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire

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_ciberlite")
# Python
pip install irw

import irw
df = irw.fetch("peters_2025_ciberlite")

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