alcoholhealthwarninglabel_brennan_2022_intentions_postexposure

3,510 responses from 1,755 respondents to 2 items.

One of 2 tables from the same source; this one measures Post-Exposure Drinking Reduction Intentions. The others are listed under Related tables.

About this table

DescriptionPost-exposure intentions to reduce drinking frequency and amount consumed.
ReferenceBrennan, Emily. Alcohol Health Warning Study. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-12. https://doi.org/10.3886/E175721V1
LicenceCC BY 4.0
Source datahttps://www.openicpsr.org/openicpsr/project/175721/version/V1/view

Size and shape

Responses3,510
Respondents1,755
Items2
Response categories4
Responses per respondent2
Responses per item1,755
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct namePost-Exposure Drinking Reduction Intentions

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentPost-exposure drinking-reduction intentions from the alcohol health warning label RCT: Brennan et al. (2022), 'Testing the effectiveness of alcohol health warning label formats', PLOS ONE 17(12):e0276189 (CC BY 4.0). Item wording, the shared stem and the four response labels are quoted from the paper's Outcomes section; the deposit (openICPSR project 175721, doi:10.3886/E175721V1) returns HTTP 403 without a login, so the .dta's own variable labels could not be read. The two live codes are the D2_D4 block's second and third statements, which data/alcoholhealthwarninglabel_brennan_2022.py renames: D2_D4_2 -> reduce_how_often, D2_D4_3 -> reduce_amount_per_occasion. The block's fourth statement ('avoid drinking alcohol completely') is not in this table because the deposit ships only a binarised version of it.
Mean words per item8.500
Mean characters per item48.500
Mean characters per response16
Flesch-Kincaid grade level30.365

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, alcoholhealthwarninglabel_brennan_2022.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_genderCovariate 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("alcoholhealthwarninglabel_brennan_2022_intentions_postexposure")
# Python
pip install irw

import irw
df = irw.fetch("alcoholhealthwarninglabel_brennan_2022_intentions_postexposure")

How to cite

@misc{https://doi.org/10.3886/e175721v1,
  doi = {10.3886/E175721V1},
  url = {https://www.openicpsr.org/openicpsr/project/175721/version/V1/view},
  author = {Brennan, Emily},
  keywords = {alcohol, alcohol-related harm, cancer, knowledge, intentions, public health, warning labels},
  language = {en},
  title = {Alcohol Health Warning Study},
  publisher = {ICPSR - Interuniversity Consortium for Political and Social Research},
  year = {2022}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0