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

Columns

cov_agecov_conditioncov_genderiditemresp

Get the data

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("alcoholhealthwarninglabel_brennan_2022_emotional_arousal_followup")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git

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

Browse or download it directly on Redivis, or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.

Version and provenance

IRW versionv332
Redivis datasetitem_response_warehouse_3 v4.0
Redivis dataset DOI10.57761/nnmq-3c77
Manifest pin for this IRW versionv3.0
Metadata sourceirw_meta v19.3