12,012 responses from 1,001 respondents to 6 items.
| Description | Climate-change risk perception, six items rated on a 0-100 slider, measured twice by 1,001 US respondents -- before (wave 1) and after (wave 2) a mental- imagery manipulation. 12,012 responses. resp is a continuous per-item slider rating, not a composite; the deposit's Pre_RiskAverage/Post_RiskAverage columns are excluded. treat is 0 for the control arm (instinctive mental imagery) and 1 for the two active arms, with cov_condition keeping which arm (1 control, 2 enhanced imagery, 3 prevented imagery). |
|---|---|
| Reference | Karlsson, H., Asutay, E., & Vastfjall, D. (2023). A causal link between mental imagery and affect-laden perception of climate change related risks. Scientific Reports, 13, 10163. https://doi.org/10.1038/s41598-023-37195-w |
| DOI | 10.1038/s41598-023-37195-w |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/k6vp9/ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 12,012 |
|---|---|
| Respondents | 1,001 |
| Items | 6 |
| Response categories | 101 |
| Responses per respondent | 12 |
| Responses per item | 2,002 |
| Density | 2 |
| Longitudinal | TRUE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Slider/continuous |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Climate change risk perception (study-specific slider items; Karlsson et al. 2023) |
|---|---|
| Mean words per item | 13.985 |
| Mean characters per item | 78.931 |
| Mean characters per response | 2.746 |
| Flesch-Kincaid grade level | 6.598 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, karlsson_2023_climate_risk.py. 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 |
treat | IRW standard Treatment group assignment in experimental studies. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_condition | Covariate 1 = Instinctive menta imagery (control) · 2 = Enhanced mental imagery · 3 = Prevented mental imagery | Condition |
cov_gender | Covariate 1 = Male · 2 = Female · 3 = Non-binary / third gender · 4 = Prefer not to say | Gender |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the source’s codebook, Codebook.pdf.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("karlsson_2023_climate_risk")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("karlsson_2023_climate_risk")
@article{Karlsson_2023, title={A causal link between mental imagery and affect-laden perception of climate change related risks}, volume={13}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-023-37195-w}, DOI={10.1038/s41598-023-37195-w}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Karlsson, Hulda and Asutay, Erkin and Västfjäll, Daniel}, year={2023}, month=June }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.9 |
| Redivis dataset DOI | 10.57761/vzgw-d311 |
| Manifest pin for this IRW version | v5.8 |
| Metadata source | irw_meta v37.0 |