11,550 responses from 550 respondents to 21 items.
| Description | Risk perception items regarding radiation exposure (21 items, 5-point), Japanese schoolteachers living around the Sendai Nuclear Power Plant after the Fukushima accident, N=550 |
|---|---|
| Reference | Hori H, Orita M, Taira Y, Kudo T, Takamura N (2019). Risk perceptions regarding radiation exposure among Japanese schoolteachers living around the Sendai Nuclear Power Plant after the Fukushima accident. PLOS ONE, 14(3), e0212917. https://doi.org/10.1371/journal.pone.0212917 |
| DOI | 10.1371/journal.pone.0212917 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0212917.s003 |
| Responses | 11,550 |
|---|---|
| Respondents | 550 |
| Items | 21 |
| Response categories | 5 |
| Responses per respondent | 21 |
| Responses per item | 550 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | jpn |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Radiation risk perception questionnaire for local government staff and schoolteachers living within the Urgent Protective Action Planning Zone of a nuclear power plant (Hori et al., 2019) |
|---|---|
| Mean words per item | 9.476 |
| Mean characters per item | 59.476 |
| Mean characters per response | 7.381 |
| Flesch-Kincaid grade level | 9.512 |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
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("hori_2019_radiation_risk")
# Python
pip install irw
import irw
df = irw.fetch("hori_2019_radiation_risk")
@article{Hori_2019, title={Risk perceptions regarding radiation exposure among Japanese schoolteachers living around the Sendai Nuclear Power Plant after the Fukushima accident}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0212917}, DOI={10.1371/journal.pone.0212917}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Hori, Hiroko and Orita, Makiko and Taira, Yasuyuki and Kudo, Takashi and Takamura, Noboru}, editor={Woloschak, Gayle E.}, year={2019}, month=Mar, pages={e0212917} }
| 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 |