encceja_2024_ef_hg_nom

636,000 responses from 21,200 respondents to 30 items.

The scored version of this table is encceja_2024_ef_hg.

One of 16 tables from the same source; this one is the ef_hg_nom table. The others are listed under Related tables.

About this table

DescriptionNominal companion of encceja_2024_ef_hg: ENCCEJA 2024 (Brazil's national exam certifying school completion for youth and adults), lower-secondary (ensino fundamental) level, history and geography (História e Geografia): 30 four-option multiple-choice items, 21,200 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.
ReferenceInstituto 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
LicenceCC BY 4.0
Source datahttps://download.inep.gov.br/microdados/microdados_encceja_2024.zip

Size and shape

Responses636,000
Respondents21,200
Items30
Response categories6
Responses per respondent30

Columns

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).

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_ef_hg_nom", source = "nom")
# Python
pip install irw

import irw
df = irw.fetch("encceja_2024_ef_hg_nom", source="nom")

How to cite

@dataset{inep2024encceja,
  author = {{Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep)}},
  title = {Microdados do {E}ncceja 2024},
  year = {2024},
  address = {Brasília},
  publisher = {Inep},
  url = {https://download.inep.gov.br/microdados/microdados_encceja_2024.zip}
}

Version and provenance

IRW versionv581
Redivis datasetirw_nominal v4.1
Redivis dataset DOI10.57761/9hzd-dc70
Manifest pin for this IRW versionv4.1
Metadata sourceirw_meta v44.0