rosetti_2023_cas
10,296 responses from 468 respondents to 22 items.
About this table
| Description | Climate Anxiety Scale (CAS); N=468, 22 items, 0-4 Likert |
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| Reference | Rosetti, M.; Ramírez, A.S. (2023). Climate Anxiety Data Base [Dataset]. Figshare. DOI: 10.6084/m9.figshare.16900393.v2 |
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| DOI | 10.1089/eco.2022.0049 |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/16900393 |
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Size and shape
| Responses | 10,296 |
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| Respondents | 468 |
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| Items | 22 |
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| Response categories | 5 |
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| Responses per respondent | 22 |
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| Responses per item | 468 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | spa |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Climate Change Anxiety Scale (CAS), 22-item four-factor version |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 7.600 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_agecov_gendercov_news_timecov_scale_groupcov_social_net_timeiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rosetti_2023_cas")
# Python
pip install irw
import irw
df = irw.fetch("rosetti_2023_cas")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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