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 |
iditemresp
Or load it directly in R or Python:
# 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")
| 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 |