colombia_2023_politics_neighbors
103,545 responses from 46,392 respondents to 13 items.
About this table
| Description | Unwanted neighbor social groups |
|---|
| Reference | Survey of Political Culture - ECP - 2023 |
|---|
| Licence | Permission via Email |
|---|
| Source data | https://microdatos.dane.gov.co/index.php/catalog/822/get-microdata |
|---|
Size and shape
| Responses | 103,545 |
|---|
| Respondents | 46,392 |
|---|
| Items | 13 |
|---|
| Response categories | 2 |
|---|
| Responses per respondent | 2.232 |
|---|
| Responses per item | 7,965 |
|---|
| Density | 0.172 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| sample | Representative |
|---|
| construct type | Opinion/attitude |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | spa |
|---|
| construct name | Social Distance |
|---|
Columns
cov_activitycov_agecov_educcov_ethniccov_hhsizecov_literatecov_parentescocov_sexiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("colombia_2023_politics_neighbors")
# Python
pip install irw
import irw
df = irw.fetch("colombia_2023_politics_neighbors")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
|---|
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
|---|
| Manifest pin for this IRW version | v19.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|