210,348 responses from 70,463 respondents to 3 items.
| Description | Willingness to be vulnerable to scientists — how far people and governments should rely on scientists' guidance (3 items; not at all 1 – very strongly 5). TISP global survey, 70,463 respondents in 67 countries. |
|---|---|
| Reference | Mede, N. G., Cologna, V., Berger, S., Besley, J., Brick, C., Joubert, M., et al. (2025). Perceptions of science, science communication, and climate change attitudes in 68 countries – the TISP dataset. Scientific Data, 12, 114. https://doi.org/10.1038/s41597-024-04100-7 |
| DOI | 10.1038/s41597-024-04100-7 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/5c3qd/ |
| Responses | 210,348 |
|---|---|
| Respondents | 70,463 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 2.985 |
| Responses per item | 70,116 |
| Density | 0.995 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
cov_agecov_agegroupcov_continentcov_countrycov_educationcov_gendercov_income_usdcov_languagecov_pol_conservativecov_pol_rightcov_religiouscov_samplecov_urbaniditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mede_2025_willvul")
# Python
pip install irw
import irw
df = irw.fetch("mede_2025_willvul")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |