32,622 responses from 6,886 respondents to 6 items.
One of 17 tables from the same source; this one measures ENCASBA - Lightning. The others are listed under Related tables.
| Description | ENCASBA 2024 items on access to and satisfaction with public street lighting services |
|---|---|
| Reference | https://www.ine.gob.gt/encasba-2/ |
| Licence | Permission via Email |
| Source data | https://www.ine.gob.gt/encasba-2/ |
| Responses | 32,622 |
|---|---|
| Respondents | 6,886 |
| Items | 6 |
| Response categories | 10 |
| Responses per respondent | 4.737 |
| Responses per item | 5,437 |
| Density | 0.790 |
| Longitudinal | FALSE |
| 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 - Lightning |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Encuesta para la Evaluación de la Calidad de los Servicios Públicos Básicos 2024 (ENCASBA), INE Guatemala -- Capítulo IV, Sección A: servicio de alumbrado público (P04A03) |
|---|---|
| Mean words per item | 20 |
| Mean characters per item | 111.208 |
| Mean characters per response | 3.583 |
| Flesch-Kincaid grade level | 9.074 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, guatemala_2024_homes.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | `var' |
| Respondent covariates | ||
cov_age | Covariate | p02a03 |
cov_educ | Covariate | p02a11a |
cov_hhsize | Covariate | total_pers |
cov_lang | Covariate | p02a08 |
cov_sex | Covariate | p02a02 |
What item codes and covariate values stand for is in the source’s codebook, ENCASBA.2024_Diccionarios.xlsx (sheet Hogares), and its questionnaire, BOLETA-ENCASBA-2024.pdf, which shows the item wording.
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("guatemala_2024_homes_lighting")
# Python
pip install irw
import irw
df = irw.fetch("guatemala_2024_homes_lighting")
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v39.0 |