4,053 responses from 940 respondents to 3 items.
| Description | Trust in Media |
|---|---|
| Reference | Krakowski, Krzysztof; Clemm von Hohenberg, Bernhard; Morisi, Davide, 2025, "Replication Data for: Does School Debating Reduce Vulnerability to Misinformation? A Field Experiment in Poland", https://doi.org/10.7910/DVN/OUI9LS, Harvard Dataverse, V1, UNF:6:wszDijH9TS3y7CCrKAwiug== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OUI9LS |
| Responses | 4,053 |
|---|---|
| Respondents | 940 |
| Items | 3 |
| Response categories | 7 |
| Responses per respondent | 4.312 |
| Responses per item | 1,351 |
| Density | 1.437 |
| Longitudinal | TRUE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | pol |
| construct name | Trust in Media |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Trust in Media |
|---|---|
| Mean words per item | 3.667 |
| Mean characters per item | 28.333 |
| Mean characters per response | 5.857 |
| Flesch-Kincaid grade level | 13.731 |
block_idcov_agecov_hh_sizecov_politicsiditemresptottreatwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_85")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_85")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |