gilbert_meta_85

4,053 responses from 940 respondents to 3 items.

One of 3 tables from the same source; this one measures Trust in Media. The others are listed under Related tables.

About this table

DescriptionTrust in Media
ReferenceKrakowski, 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]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OUI9LS

Size and shape

Responses4,053
Respondents940
Items3
Response categories7
Responses per respondent4.312
Responses per item1,351
Density1.437
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol
construct nameTrust in Media

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentTrust in Media
Mean words per item3.667
Mean characters per item28.333
Mean characters per response5.857
Flesch-Kincaid grade level13.731

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gilbert_meta_83through85.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
block_idIRW standard The level above cluster_id — in a randomised design, the block or stratum within which assignment was made (treat varies within a block, and clusters nest in blocks).schoolen
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
treatIRW standard Treatment group assignment in experimental studies.treat_bin
waveIRW standard Longitudinal wave indicator.made in the build script
Respondent covariates
cov_ageCovariate age
cov_hh_sizeCovariate hh_size
cov_politicsCovariate preferred_party
Other columns
totFrom source Not defined by the IRW standard; the source column’s codebook entry gives its meaning.debate

What item codes and covariate values stand for is in the source’s codebook, codebook.txt.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# 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")

How to cite

@misc{https://doi.org/10.7910/dvn/oui9ls,
  doi = {10.7910/DVN/OUI9LS},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/OUI9LS},
  author = {Krakowski, Krzysztof and Clemm von Hohenberg, Bernhard and Morisi, Davide},
  keywords = {Social Sciences, Misinformation, Conspiracy thinking, Fake news, Debating, Critical thinking},
  title = {Replication Data for: Does School Debating Reduce Vulnerability to Misinformation? A Field Experiment in Poland},
  publisher = {Harvard Dataverse},
  year = {2025}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v39.0