12,549 responses from 11,224 respondents to 10 items.
| Description | Injunctive norm items — perceived approval component (RAA) |
|---|---|
| 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 | 12,549 |
|---|---|
| Respondents | 11,224 |
| Items | 10 |
| Response categories | 7 |
| Responses per respondent | 1.118 |
| Responses per item | 1254.900 |
| Density | 0.112 |
| Longitudinal | TRUE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | COVID-19 Risk Assessment Tool (Your COVID-19 Risk / YCR) -- Injunctive Norm items, perceived referent approval component |
|---|---|
| Mean words per item | 15.600 |
| Mean characters per item | 85 |
| Mean characters per response | 6.429 |
| Flesch-Kincaid grade level | 5.541 |
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_nrm_inj_approval")
# Python
pip install irw
import irw
df = irw.fetch("peters_2025_nrm_inj_approval")
| 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 |