peters_2025_nrm_inj_motivation

12,021 responses from 10,785 respondents to 10 items.

About this table

DescriptionInjunctive norm items — motivation-to-comply 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

Responses12,021
Respondents10,785
Items10
Response categories5
Responses per respondent1.115
Responses per item1202.100
Density0.111
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_nrm_inj_motivation")
# Python
pip install irw

import irw
df = irw.fetch("peters_2025_nrm_inj_motivation")

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