18,198 responses from 2,022 respondents to 9 items.
One of 3 tables from the same source; this one is the knowledge_correct table. The others are listed under Related tables.
| Description | 9-item true/false agricultural knowledge quiz, from a survey of German farmers/advisors on opinion leadership |
|---|---|
| Reference | Gabriel A, Bitsch V (2026) Do opinion leaders know more? Knowledge accuracy, self-confidence, and media use in agricultural issues. PLoS ONE 21(1): e0341457. |
| DOI | 10.1371/journal.pone.0341457 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0341457.s002&type=supplementary |
| Responses | 18,198 |
|---|---|
| Respondents | 2,022 |
| Items | 9 |
| Response categories | 2 |
| Responses per respondent | 9 |
| Responses per item | 2,022 |
| Density | 1 |
| Longitudinal | FALSE |
| measurement tool | Test |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | ger |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Agricultural knowledge statements: true/false judgement |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 6.500 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gabriel_2026_ag_knowledge.py. 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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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("gabriel_2026_knowledge_correct")
# Python
pip install irw
import irw
df = irw.fetch("gabriel_2026_knowledge_correct")
@article{Gabriel_2026, title={Do opinion leaders know more? Knowledge accuracy, self-confidence, and media use in agricultural issues}, volume={21}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0341457}, DOI={10.1371/journal.pone.0341457}, number={1}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Gabriel, Andreas and Bitsch, Vera}, editor={Vellucci, Pierluigi}, year={2026}, month=Jan, pages={e0341457} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v39.0 |