envirisk_lalot_2025

24,060 responses from 2,005 respondents to 12 items.

About this table

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/

Size and shape

Responses	24,060
Respondents	2,005
Items	12
Response categories	11
Responses per respondent	12
Responses per item	2,005
Density	1
Longitudinal	FALSE

Classification

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

Item text

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

Instrument	Lalot, Raikkonen & Ahvenharju (2025), 'An item response theory approach to measurement in environmental psychology: A practical example with environmental risk perception', Journal of Environmental Psychology, doi:10.1016/j.jenvp.2025.102520; deposit osf.io/h6ru2, item wording and anchors from 'codebook EnviRisk.xlsx'
Mean words per item	12.120
Mean characters per item	73.707
Mean characters per response	5.761
Flesch-Kincaid grade level	8.726

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, envirisk_lalot_2025.R. 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).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age`
`cov_education`	Covariate	`education`
`cov_gender`	Covariate	`gender`
`cov_income`	Covariate	`income`

What item codes and covariate values stand for is in the source’s codebook, codebook EnviRisk.xlsx, codebook (sheet in data EnviRisk.xlsx).

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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("envirisk_lalot_2025")

# Python
pip install irw

import irw
df = irw.fetch("envirisk_lalot_2025")

How to cite

@article{Lalot_2025, title={An item response theory approach to measurement in environmental psychology: A practical example with environmental risk perception}, volume={101}, ISSN={0272-4944}, url={http://dx.doi.org/10.1016/j.jenvp.2025.102520}, DOI={10.1016/j.jenvp.2025.102520}, journal={Journal of Environmental Psychology}, publisher={Elsevier BV}, author={Lalot, Fanny and Räikkönen, Juulia and Ahvenharju, Sanna}, year={2025}, month=feb, pages={102520} }

Version and provenance

IRW version	v549
Redivis dataset	item_response_warehouse v70.0
Redivis dataset DOI	10.57761/4qxs-pq87
Manifest pin for this IRW version	v70.0
Metadata source	irw_meta v39.0