39,992,880 responses from 999,822 respondents to 40 items.
| Description | Language and codes portion of the 2013 Brazilian ENEM, one-million-person subsample, restricted to main-application items only (issue #955). Binary scored (0/1). LC keeps BOTH languages: each student answered only English OR Spanish foreign-language items, resolved via TP_LINGUA (sparse by design, density ~0.9 -- issue #723). |
|---|---|
| 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 | 39,992,880 |
|---|---|
| Respondents | 999,822 |
| Items | 40 |
| Response categories | 2 |
| Responses per respondent | 40 |
| Responses per item | 999,822 |
| Density | 1 |
| Longitudinal | FALSE |
| 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 Language Proficiency Assessment (2013) |
bookletiditempositionresp
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_2013_1mil_lc")
# Python
pip install irw
import irw
df = irw.fetch("enem_2013_1mil_lc")
| 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 |