5,003,820 responses from 166,794 respondents to 30 items.
The scored version of this table is encceja_2024_em_ch.
One of 16 tables from the same source; this one is the em_ch_nom table. The others are listed under Related tables.
| Description | Nominal companion of encceja_2024_em_ch: ENCCEJA 2024 (Brazil's national exam certifying school completion for youth and adults), upper-secondary (ensino médio) level, human sciences (Ciências Humanas e suas Tecnologias): 30 four-option multiple-choice items, 166,794 candidates present (Nacional Regular application; prison-system file not included). resp = 1 if the letter marked matches INEP's key; text = letter marked (A-D, "." blank, "*" double mark, both scored 0); position and booklet are INEP's CO_POSICAO and CO_PROVA (standard and reader-adapted booklets). item = INEP CO_ITEM, which recurs across ENCCEJA years. id = INEP's masked NU_INSCRICAO, unique within a year only. |
|---|---|
| Reference | Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep). Microdados do Encceja 2024 [Data set]. Brasília: Inep. https://download.inep.gov.br/microdados/microdados_encceja_2024.zip |
| Licence | CC BY 4.0 |
| Source data | https://download.inep.gov.br/microdados/microdados_encceja_2024.zip |
| Responses | 5,003,820 |
|---|---|
| Respondents | 166,794 |
| Items | 30 |
| Response categories | 6 |
| Responses per respondent | 30 |
bookletiditempositionresptext
id, item, resp are defined in the IRW data standard and mean the same in every table. For the other columns, including what item codes and covariate values stand for, see the source’s codebook, Dicionário_Microdados_ENCCEJA_2024.xlsx (inside microdados_encceja_2024.zip, 63 MB).
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 (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("encceja_2024_em_ch_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("encceja_2024_em_ch_nom", source="nom")
@dataset{inep_encceja_2024,
author = {{Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep)}},
title = {Microdados do {E}ncceja 2024},
year = {2024},
publisher = {Inep},
address = {Brasília},
url = {https://download.inep.gov.br/microdados/microdados_encceja_2024.zip}
}
| IRW version | v581 |
|---|---|
| Redivis dataset | irw_nominal v4.1 |
| Redivis dataset DOI | 10.57761/9hzd-dc70 |
| Manifest pin for this IRW version | v4.1 |
| Metadata source | irw_meta v44.0 |