shineha_2024_gef_accept_factors

48,378 responses from 4,398 respondents to 11 items.

About this table

DescriptionBinary acceptance-factor items re: genome-edited food, Japanese public vs. scientific community sample
ReferenceShineha R, et al. (2024) A comparative analysis of attitudes toward genome-edited food among Japanese public and scientific community. PLOS ONE 19(3): e0300107
DOI10.1371/journal.pone.0300107
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0300107.s002&type=supplementary

Size and shape

Responses48,378
Respondents4,398
Items11
Response categories2
Responses per respondent11
Responses per item4,398
Density1
LongitudinalFALSE

Classification

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

Item text

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

InstrumentQuestionnaire on genome-edited foods (Shineha et al., 2024), Q6: factors important for the social acceptance of genome-edited food
Mean words per item1
Mean characters per item2
Mean characters per response2
Flesch-Kincaid grade level-3.400

Columns

cov_categoryiditemresp

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("shineha_2024_gef_accept_factors")
# Python
pip install irw

import irw
df = irw.fetch("shineha_2024_gef_accept_factors")

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