45,000,000 responses from 1,000,000 respondents to 45 items.
The scored version of this table is enem_2022_1mil_ch.
| Description | Nominal version of enem_2022_1mil_ch: text is the response option the examinee marked on the humanities portion of the 2022 Brazilian ENEM. resp is retained as the scored 0/1. |
|---|---|
| Reference | Martins, D. M. (2021). Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil. Latin American Journal of Development, 3(5), 2898-2907. |
| DOI | 10.46814/lajdv3n5-018 |
| Licence | CC BY 4.0 |
| Source data | https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos/microdados/enem |
| Responses | 45,000,000 |
|---|---|
| Respondents | 1,000,000 |
| Items | 45 |
| Response categories | 7 |
| Responses per respondent | 45 |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Representative |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | ENEM Human Sciences Proficiency Assessment (2022) |
bookletiditempositionresptext
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("enem_2022_1mil_ch_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("enem_2022_1mil_ch_nom", source="nom")
@article{Martins_2021, title={Estado da arte das pesquisas sobre ENEM no Brasil: State of the art of research on ENEM in Brazil}, volume={3}, ISSN={2674-9297}, url={http://dx.doi.org/10.46814/lajdv3n5-018}, DOI={10.46814/lajdv3n5-018}, number={5}, journal={Latin American Journal of Development}, publisher={South Florida Publishing LLC}, author={Martins, Dayse Marinho}, year={2021}, month=Sept, pages={2898–2907} }
| IRW version | v439 |
|---|---|
| Redivis dataset | irw_nominal v2.0 |
| Redivis dataset DOI | 10.57761/we2p-ym20 |
| Manifest pin for this IRW version | v2.0 |
| Metadata source | irw_meta v27.0 |