Item Response Warehouse / Tables / shineha_2024_gef_info_topicsshineha_2024_gef_info_topics
74,766 responses from 4,398 respondents to 17 items.
About this table
Description Binary information-topic-familiarity items re: genome-edited food, Japanese public vs. scientific community sample Reference Shineha R, et al. (2024) A comparative analysis of attitudes toward genome-edited food among Japanese public and scientific community. PLOS ONE 19(3): e0300107 DOI 10.1371/journal.pone.0300107 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0300107.s002&type=supplementary
Size and shape
Responses 74,766 Respondents 4,398 Items 17 Response categories 2 Responses per respondent 17 Responses per item 4,398 Density 1 Longitudinal FALSE
Classification
sample Internet-based measurement tool Survey/questionnaire item format Likert 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.
Instrument Questionnaire on genome-edited foods (Shineha et al. 2024), Q7: topics of interest Mean words per item 1 Mean characters per item 2 Mean characters per response 2 Flesch-Kincaid grade level -3.400
Columns
cov_category id item resp
Get the data
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_info_topics")
# Python
pip install irw
import irw
df = irw.fetch("shineha_2024_gef_info_topics")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.