frantz_2021_env_commitment

13,767 responses from 1,260 respondents to 13 items.

One of 6 tables from the same source; this one measures Commitment to pro-environmental actions. The others are listed under Related tables.

About this table

DescriptionCommitment to 13 pro-environmental actions (1 not at all - 5 very committed), Studies 1 and 3 pooled (cov_study; N = 1,260; items 11-13 Study 3 only; Study 2 excluded for an inconsistent coding); cov_* as for frantz_2021_env_concern.
ReferenceFrantz, 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
LicenceCC0 1.0
Source datahttps://zenodo.org/records/5171463

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses13,767
Respondents1,260
Items13
Response categories5
Responses per respondent10.926
Responses per item1,059
Density0.840
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameCommitment to pro-environmental actions

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate made in the build script
cov_conditionCovariate made in the build script
cov_educationCovariate made in the build script
cov_genderCovariate made in the build script
cov_political_affiliationCovariate made in the build script
cov_political_orientationCovariate made in the build script
cov_studyCovariate made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant 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("frantz_2021_env_commitment")
# Python
pip install irw

import irw
df = irw.fetch("frantz_2021_env_commitment")

How to cite

@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}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_7 v1.1
Redivis dataset DOI10.57761/7pd3-sh31
Manifest pin for this IRW versionv1.0
Metadata sourceirw_meta v44.0