24,704 responses from 1,769 respondents to 14 items.
One of 6 tables from the same source; this one measures Environmental concern. The others are listed under Related tables.
| Description | Concern about 14 environmental problems (1 not at all - 5 very concerned), pooled over three US studies (cov_study; N = 1,769); cov_condition, cov_gender, cov_age, cov_education, cov_political_affiliation, cov_political_orientation. |
|---|---|
| Reference | Frantz, C., Petersen, J., & Lucaites, K. (2021). Data from: Novel approach to delivering pro-environmental messages significantly shifts norms and motivation, but children are not more effective spokespeople than adults [data]. Zenodo / Dryad. https://doi.org/10.5061/dryad.np5hqbzs4 |
| Licence | CC0 1.0 |
| Source data | https://zenodo.org/records/5171463 |
| Responses | 24,704 |
|---|---|
| Respondents | 1,769 |
| Items | 14 |
| Response categories | 5 |
| Responses per respondent | 13.965 |
| Responses per item | 1764.571 |
| Density | 0.997 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Environmental concern |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, frantz_2021_community_voices.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 |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_condition | Covariate | made in the build script |
cov_education | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_political_affiliation | Covariate | made in the build script |
cov_political_orientation | Covariate | made in the build script |
cov_study | Covariate | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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("frantz_2021_env_concern")
# Python
pip install irw
import irw
df = irw.fetch("frantz_2021_env_concern")
@misc{https://doi.org/10.5061/dryad.np5hqbzs4,
doi = {10.5061/DRYAD.NP5HQBZS4},
url = {https://datadryad.org/dataset/doi:10.5061/dryad.np5hqbzs4},
author = {Frantz, Cynthia and Petersen, John and Lucaites, Kathryn},
keywords = {FOS: Psychology, FOS: Psychology, ecofeedback, proenvironmental behavior, proenvironmental attitudes, social norms, child messengers, child spokespeople, message framing, injunctive messaging, political messaging, future messaging, local messengers, local spokespeople},
language = {en},
title = {Novel approach to delivering pro-environmental messages significantly shifts norms and motivation, but children are not more effective spokespeople than adults},
publisher = {Dryad},
year = {2021},
copyright = {Creative Commons Zero v1.0 Universal}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |