59,200 responses from 592 respondents to 101 items.
| Description | BRAND2020 Recognition |
|---|---|
| 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 | 59,200 |
|---|---|
| Respondents | 592 |
| Items | 101 |
| Response categories | 2 |
| Responses per respondent | 100 |
| Responses per item | 586.139 |
| Density | 0.990 |
| 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 | recognition of brands |
cov_agecov_genderiditemitem_familyresp
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_recognition_20")
# Python
pip install irw
import irw
df = irw.fetch("brand_raffaelli_2024_recognition_20")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |