gabriel_2026_media_use

12,132 responses from 2,022 respondents to 6 items.

About this table

Description6-item media-channel usage-frequency scale, 5-point, same survey as gabriel_2026_knowledge_correct
ReferenceGabriel A, Bitsch V (2026) Do opinion leaders know more? Knowledge accuracy, self-confidence, and media use in agricultural issues. PLoS ONE 21(1): e0341457.
DOI10.1371/journal.pone.0341457
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0341457.s002&type=supplementary

Size and shape

Responses12,132
Respondents2,022
Items6
Response categories5
Responses per respondent6
Responses per item2,022
Density1
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Item text

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

InstrumentMedia use for information on agriculture and food
Mean words per item1
Mean characters per item2
Mean characters per response7.400
Flesch-Kincaid grade level-3.400

Columns

iditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gabriel_2026_media_use")
# Python
pip install irw

import irw
df = irw.fetch("gabriel_2026_media_use")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0