alcoholhealthwarninglabel_brennan_2022_emotional_arousal_followup

6,522 responses from 1,087 respondents to 6 items.

About this table

DescriptionFollow-up positive and negative emotion ratings toward alcohol warning label images
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
DOI10.1371/journal.pone.0276189
LicenceCC BY 4.0
Source datahttps://www.openicpsr.org/openicpsr/project/175721/version/V1/view

Size and shape

Responses6,522
Respondents1,087
Items6
Response categories7
Responses per respondent6
Responses per item1,087
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct namePositive Emotional Arousal to Alcohol Warning Labels

Item text

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

InstrumentEmotional Arousal Ratings (Positive and Negative Affect), Follow-up
Mean words per item1
Mean characters per item8.167
Mean characters per response4.571
Flesch-Kincaid grade level32.257

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_emotional_arousal_followup")
# Python
pip install irw

import irw
df = irw.fetch("alcoholhealthwarninglabel_brennan_2022_emotional_arousal_followup")

How to cite

@article{Brennan_2022, title={Testing the effectiveness of alcohol health warning label formats: An online experimental study with Australian adult drinkers}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0276189}, DOI={10.1371/journal.pone.0276189}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Brennan, Emily and Dunstone, Kimberley and Vittiglia, Amanda and Mancuso, Sam and Durkin, Sarah and Slater, Michael D. and Hoek, Janet and Pettigrew, Simone and Wakefield, Melanie}, editor={Bomfim, Rafael Aiello}, year={2022}, month=Dec, pages={e0276189} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv14.0
Metadata sourceirw_meta v44.0