colombia_2023_politics_spaces

252,493 responses from 46,392 respondents to 9 items.

One of 33 tables from the same source; this one measures Participation Spaces Effectiveness. The others are listed under Related tables.

About this table

DescriptionParticipation spaces effectiveness and use
ReferenceSurvey of Political Culture - ECP - 2023
LicencePermission via Email
Source datahttps://microdatos.dane.gov.co/index.php/catalog/822/get-microdata

Size and shape

Responses252,493
Respondents46,392
Items9
Response categories5
Responses per respondent5.443
Responses per item28054.778
Density0.605
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleRepresentative
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameParticipation Spaces Effectiveness

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, colombia_2023_politics.do. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.`var'
Respondent covariates
cov_activityCovariate p606
cov_ageCovariate p5785
cov_educCovariate p6210
cov_ethnicCovariate p5465
cov_hhsizeCovariate p6008
cov_literateCovariate p6160
cov_parentescoCovariate p6050
cov_sexCovariate p220

What item codes and covariate values stand for is in the source’s codebook, DICCIONARIO BASE ANONIMIZADA ECP 2023.xlsx (inside DICCIONARIO BASE ANONIMIZADA ECP 2023.zip), and its questionnaire, Formulario_ECP_2023 _Final.pdf, which shows the item wording.

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("colombia_2023_politics_spaces")
# Python
pip install irw

import irw
df = irw.fetch("colombia_2023_politics_spaces")

How to cite

@misc{Survey_of_Political_Culture_ECP_2023,
  title = {Survey of Political Culture - ECP - 2023},
  url = {https://microdatos.dane.gov.co/index.php/catalog/822/get-microdata},
  note = {Accessed: 2023}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v43.0