guatemala_2024_homes_roads
33,940 responses from 6,886 respondents to 5 items.
About this table
| Description | ENCASBA 2024 items on condition, connectivity, and maintenance of interurban roads and highways serving the community |
|---|
| Reference | https://www.ine.gob.gt/encasba-2/ |
|---|
| Licence | Permission via Email |
|---|
| Source data | https://www.ine.gob.gt/encasba-2/ |
|---|
Size and shape
| Responses | 33,940 |
|---|
| Respondents | 6,886 |
|---|
| Items | 5 |
|---|
| Response categories | 10 |
|---|
| Responses per respondent | 4.929 |
|---|
| Responses per item | 6,788 |
|---|
| Density | 0.986 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| sample | Representative, Targeted/specific |
|---|
| construct type | Opinion/attitude |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Slider/continuous |
|---|
| primary language(s) | spa |
|---|
| construct name | ENCASBA - Roads |
|---|
Columns
cov_agecov_educcov_hhsizecov_langcov_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("guatemala_2024_homes_roads")
# Python
pip install irw
import irw
df = irw.fetch("guatemala_2024_homes_roads")
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 |
|---|