13,724 responses from 3,431 respondents to 4 items.
| Description | Four-item Likert scale on racial attitudes/norms among Brazilian secondary school students (agreement with statements about race relations, work ethic, and assimilation) |
|---|---|
| Reference | A. Portella, C. Kirschbaum, & N. Menezes-Filho, Racial social norms among Brazilian students: Academic performance, popularity, and racial identification, Proc. Natl. Acad. Sci. U.S.A. 119 (27) e2117956119 (2022). |
| DOI | 10.1073/pnas.2117956119 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/ZHCTCK |
| Responses | 13,724 |
|---|---|
| Respondents | 3,431 |
| Items | 4 |
| Response categories | 4 |
| Responses per respondent | 4 |
| Responses per item | 3,431 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Targeted/specific |
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Racial attitudes/norms |
cov_agecov_class_idcov_gendercov_gradecov_racecov_religioncov_school_idcov_skin_coloriditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("portella_2022_racial_attitudes")
# Python
pip install irw
import irw
df = irw.fetch("portella_2022_racial_attitudes")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |