7,127 responses from 985 respondents to 8 items.
| Description | Trust in science and institutions, 8 items on a 1-5 agreement scale, Lithuanian residents, general-population survey. 7,127 responses from 985 respondents on 8 items. |
|---|---|
| Reference | Skarzauskiene, A., Maciuliene, M., & Guleviciute, G. (2026). INFODEMIJA: Survey of Lithuanian Residents on Science Communication, Trust in Science, and Misinformation (2024) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21134839 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/21134839 |
| Responses | 7,127 |
|---|---|
| Respondents | 985 |
| Items | 8 |
| Response categories | 5 |
| Responses per respondent | 7.236 |
| Responses per item | 890.875 |
| Density | 0.904 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | lit |
cov_agecov_area_population_sizecov_districtcov_educationcov_employment_sectorcov_family_situationcov_gendercov_household_incomecov_household_sizecov_income_per_household_membercov_nationalitycov_occupationcov_subjective_financial_situationiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("skarzauskiene_2026_trust_science")
# Python
pip install irw
import irw
df = irw.fetch("skarzauskiene_2026_trust_science")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |