encceja_2023_ef_ma_nom

1,075,476 responses from 35,869 respondents to 30 items.

The scored version of this table is encceja_2023_ef_ma.

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

About this table

DescriptionNominal companion of encceja_2023_ef_ma: ENCCEJA 2023 (Brazil's national exam certifying school completion for youth and adults), lower-secondary (ensino fundamental) level, mathematics (Matemática): 30 four-option multiple-choice items, 35,869 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 2023 [Data set]. Brasília: Inep. https://download.inep.gov.br/microdados/microdados_encceja_2023.zip
LicenceCC BY 4.0
Source datahttps://download.inep.gov.br/microdados/microdados_encceja_2023.zip

Size and shape

Responses1,075,476
Respondents35,869
Items30
Response categories6
Responses per respondent29.983

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_2023.xlsx (inside microdados_encceja_2023.zip, 84 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_2023_ef_ma_nom", source = "nom")
# Python
pip install irw

import irw
df = irw.fetch("encceja_2023_ef_ma_nom", source="nom")

How to cite

@dataset{inep_encceja_2023,
  author = {{Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep)}},
  title = {Microdados do {E}ncceja 2023},
  year = {2023},
  address = {Brasília},
  publisher = {Inep},
  url = {https://download.inep.gov.br/microdados/microdados_encceja_2023.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