gabriel_2026_knowledge_confidence

18,198 responses from 2,022 respondents to 9 items.

About this table

Description9-item paired subjective-confidence rating (6-point) for the same agricultural knowledge statements 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

Responses18,198
Respondents2,022
Items9
Response categories6
Responses per respondent9
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.

InstrumentAgricultural knowledge statements: confidence in judgement (six-point subjective probability scale)
Mean words per item1
Mean characters per item2
Mean characters per response10.333
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_knowledge_confidence")
# Python
pip install irw

import irw
df = irw.fetch("gabriel_2026_knowledge_confidence")

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