brand_raffaelli_2024_liking_20

60,150 responses from 1,197 respondents to 51 items.

About this table

DescriptionBRAND2020 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

Responses60,150
Respondents1,197
Items51
Response categories7
Responses per respondent50.251
Responses per item1179.412
Density0.985
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 1, 2020)
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_20")
# Python
pip install irw

import irw
df = irw.fetch("brand_raffaelli_2024_liking_20")

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