peters_2025_att_instr_strength

69,417 responses from 40,365 respondents to 57 items.

About this table

DescriptionInstrumental attitude items — belief strength component (RAA)
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

Responses69,417
Respondents40,365
Items57
Response categories7
Responses per respondent1.720
Responses per item1217.842
Density0.030
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_att_instr_strength")
# Python
pip install irw

import irw
df = irw.fetch("peters_2025_att_instr_strength")

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