brand_raffaelli_2024_liking_24

48,262 responses from 818 respondents to 59 items.

About this table

DescriptionBRAND2024 Liking
ReferenceRaffaelli, C., Bocchi, E., Estes, Z. et al. BRAND: Brand recognition and attitude norms database. Behav Res 57, 17 (2025). https://doi.org/10.3758/s13428-024-02525-x
DOI10.3758/s13428-024-02525-x
LicenceCC BY 4.0
Source datahttps://researchbox.org/1892

Size and shape

Responses48,262
Respondents818
Items59
Response categories7
Responses per respondent59
Responses per item818
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameliking of brands

Item text

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

InstrumentBrand/logo liking ratings (Study 3, 2024)
Mean words per item11
Mean characters per item58
Mean characters per response3
Flesch-Kincaid grade level2.645

Columns

cov_agecov_genderiditemitem_familyresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("brand_raffaelli_2024_liking_24")
# Python
pip install irw

import irw
df = irw.fetch("brand_raffaelli_2024_liking_24")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0