623,951 responses from 9,072 respondents to 61 items.
| Description | Evaluating a Brief Self-Report Measure of Social-Emotional Learning and Risk Correlates Among Brazilian Students |
|---|---|
| Reference | De Marca, R., Anunciacao, L., Marques, L., & Gomes, A. B. (2026, February 7). Genios 2024 - Larga Escala. Retrieved from osf.io/hcaqv |
| DOI | 10.1177/15345084251369736 |
| Licence | Permission via Email |
| Source data | https://osf.io/hcaqv/files/osfstorage |
| Responses | 623,951 |
|---|---|
| Respondents | 9,072 |
| Items | 61 |
| Response categories | 6 |
| Responses per respondent | 68.778 |
| Responses per item | 10228.705 |
| Density | 1.128 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Sociol and Emotional Learning (SEL) - Families |
cov_ano_escolarcov_cohortcov_escolacov_estadocov_municipiocov_parentescocov_perfilcov_programaiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("sel_marca_2025_familiares")
# Python
pip install irw
import irw
df = irw.fetch("sel_marca_2025_familiares")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |