pakseresht_2021_gmfood_risk_ranking

2,140 responses from 535 respondents to 4 items.

About this table

DescriptionGM-food risk-dimension ranking task (environmental/health/economic/ethical), 4 items, ranks 1-4, N=535
ReferencePakseresht, A., et al. (2021). Genetically modified food and consumer risk responsibility: The effect of regulatory design and risk type on cognitive information processing. PLOS ONE.
DOI10.1371/journal.pone.0252580
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0252580

Size and shape

Responses2,140
Respondents535
Items4
Response categories4
Responses per respondent4
Responses per item535
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
primary language(s)swe

Item text

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

InstrumentGM food policy-scenario risk-dimension ranking task
Mean words per item2.250
Mean characters per item19.500
Mean characters per response7.750
Flesch-Kincaid grade level16.065

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("pakseresht_2021_gmfood_risk_ranking")
# Python
pip install irw

import irw
df = irw.fetch("pakseresht_2021_gmfood_risk_ranking")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0