24,060 responses from 2,005 respondents to 12 items.
| Description | Environmental risk perception |
|---|---|
| Reference | Lalot, F., Räikkönen, J., & Ahvenharju, S. (2025). An item response theory approach to measurement in environmental psychology: A practical example with environmental risk perception. Journal of Environmental Psychology, 101, 102520. |
| DOI | 10.1016/j.jenvp.2025.102520 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/h6ru2/ |
| Responses | 24,060 |
|---|---|
| Respondents | 2,005 |
| Items | 12 |
| Response categories | 11 |
| Responses per respondent | 12 |
| Responses per item | 2,005 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Representative |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Environmental risk perception |
cov_agecov_educationcov_gendercov_incomeiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("envirisk_lalot_2025")
# Python
pip install irw
import irw
df = irw.fetch("envirisk_lalot_2025")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |