606 responses from 199 respondents to 3 items.
| Description | 3-item survey block (drought experience, disaster experience, self-rated climate-change knowledge), 1-5 scale, US survey respondents |
|---|---|
| Reference | Selm KR, Peterson MN, Hess GR, Beck SM, McHale MR (2019) Educational attainment predicts negative perceptions women have of their own climate change knowledge. PLoS ONE. |
| DOI | 10.1371/journal.pone.0210149 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0210149.s001 |
| Responses | 606 |
|---|---|
| Respondents | 199 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 3.045 |
| Responses per item | 202 |
| Density | 1.015 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
cov_agecov_educationcov_gendercov_raceiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("selm_2019_climate_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("selm_2019_climate_knowledge")
| 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 |