47,602 responses from 818 respondents to 59 items.
One of 4 tables from the same source; this one is the liking_24 table. The others are listed under Related tables.
| Description | BRAND2024 Liking |
|---|---|
| Reference | Raffaelli, 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 |
| DOI | 10.3758/s13428-024-02525-x |
| Licence | CC BY 4.0 |
| Source data | https://researchbox.org/1892 |
| Responses | 47,602 |
|---|---|
| Respondents | 818 |
| Items | 59 |
| Response categories | 7 |
| Responses per respondent | 58.193 |
| Responses per item | 806.814 |
| Density | 0.986 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | liking of brands |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Brand/logo liking ratings (Study 3, 2024) |
|---|---|
| Mean words per item | 11 |
| Mean characters per item | 58 |
| Mean characters per response | 3 |
| Flesch-Kincaid grade level | 2.645 |
This codebook is reconstructed by the IRW from the IRW data standard. 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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | not traced |
item_family | IRW standard Groups items that may violate local independence — testlets, clones, or clusters of similar items. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_gender | Covariate | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
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("brand_raffaelli_2024_liking_24")
# Python
pip install irw
import irw
df = irw.fetch("brand_raffaelli_2024_liking_24")
@article{Raffaelli_2024, title={BRAND: Brand recognition and attitude norms database}, volume={57}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-024-02525-x}, DOI={10.3758/s13428-024-02525-x}, number={1}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Raffaelli, Carolina and Bocchi, Elena and Estes, Zachary and Adelman, James S.}, year={2024}, month=dec }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |