argentina_2012_aging_change

9,308 responses from 4,654 respondents to 2 items.

One of 6 tables from the same source; this one measures Perceived Health Change. The others are listed under Related tables.

About this table

Descriptionwhether health and memory improved, stayed equal, or worsened versus last year
ReferenceEncuesta Nacional sobre Calidad de Vida de Adultos Mayores
LicenceCC-BY (unspecified)
Source datahttps://www.indec.gob.ar/indec/web/Nivel4-Tema-2-21-130

Size and shape

Responses9,308
Respondents4,654
Items2
Response categories3
Responses per respondent2
Responses per item4,654
Density1
LongitudinalFALSE

Classification

age rangeElderly (minimum age >50)
sampleGeneral/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct namePerceived Health Change

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentEncuesta Nacional sobre Calidad de Vida de Adultos Mayores (ENCaViAM) 2012 - Autopercepción de la salud y la memoria (AU)
Mean words per item9
Mean characters per item51
Mean characters per response13
Flesch-Kincaid grade level2.342

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, argentina_2012_aging.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_ageCovariate edad
cov_sexCovariate sexo

What item codes and covariate values stand for is in the source’s codebook, doc_utilizacion_ENCaViAM 2012.pdf, and its questionnaire, cuestionario_encaviam.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("argentina_2012_aging_change")
# Python
pip install irw

import irw
df = irw.fetch("argentina_2012_aging_change")

How to cite

@dataset{indec_encuesta_nacional_calidad_vida_adultos_mayores,
  title={Encuesta Nacional sobre Calidad de Vida de Adultos Mayores},
  organization={INDEC},
  url={https://www.indec.gob.ar/indec/web/Nivel4-Tema-2-21-130},
  note={National Survey on Quality of Life of Older Adults}
}

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v43.0