38,739 responses from 4,850 respondents to 8 items.
One of 3 tables from the same source; this one measures ELCSA (Latin American and Caribbean Food Security Scale), adult items. The others are listed under Related tables.
| Description | ELCSA food insecurity, 8 adult items, 0/1 (June, July and October 2020 waves); N = 4,850 Mexican household respondents (ENCOVID-19); cov_wave_month, cov_sex, cov_age, cov_state, cov_household_size. |
|---|---|
| Reference | Pérez Hernández, V. H., Teruel Belismelis, G., et al. (2021). Encuesta Nacional sobre los Efectos del COVID-19 en el Bienestar de los Hogares Mexicanos (ENCOVID-19), June, July and October 2020 [Data sets]. EQUIDE, Universidad Iberoamericana. Zenodo. https://doi.org/10.5281/zenodo.4602365, https://doi.org/10.5281/zenodo.4602374, https://doi.org/10.5281/zenodo.4776828 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/4602374 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 38,739 |
|---|---|
| Respondents | 4,850 |
| Items | 8 |
| Response categories | 2 |
| Responses per respondent | 7.987 |
| Responses per item | 4842.375 |
| Density | 0.998 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | ELCSA (Latin American and Caribbean Food Security Scale), adult items |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | ELCSA (Escala Latinoamericana y Caribeña de Seguridad Alimentaria), adult items, ENCOVID-19 July and October 2020 |
|---|---|
| Mean words per item | 9.250 |
| Mean characters per item | 47.250 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 3.007 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, perez_hernandez_2021_encovid.py. 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. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | edad |
cov_household_size | Covariate | tam_hog |
cov_sex | Covariate | sexo |
cov_state | Covariate | ent |
cov_wave_month | Covariate | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, content.
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("perez_hernandez_2021_elcsa")
# Python
pip install irw
import irw
df = irw.fetch("perez_hernandez_2021_elcsa")
@misc{https://doi.org/10.5281/zenodo.4602374,
doi = {10.5281/ZENODO.4602374},
url = {https://zenodo.org/record/4602374},
author = {Pérez Hernández, Víctor Hugo and Teruel Belismelis, Graciela and Hernández Solano, Alan Martín and Triano Enríquez, Manuel and Gaitán-Rossi, Pablo and Vilar-Compte, Mireya and López Escobar, Emilio},
keywords = {COVID-19, Mexico, well-being, labor, income, depression, anxiety, food insecurity},
language = {es},
title = {Encuesta Nacional sobre los Efectos del COVID-19 en el Bienestar de los Hogares Mexicanos (ENCOVID-19-JULIO)},
publisher = {Zenodo},
year = {2021},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |