argentina_2017_victimization_precaution

280,513 responses from 29,142 respondents to 13 items.

One of 7 tables from the same source; this one measures Precautionary Behavior. The others are listed under Related tables.

About this table

DescriptionActivities given up for security reasons during 2016
ReferenceENCUESTA NACIONAL DE VICTIMIZACIÓN
LicenceCC-BY (unspecified)
Source datahttps://www.indec.gob.ar/indec/web/Nivel4-Tema-4-27-137

Size and shape

Responses280,513
Respondents29,142
Items13
Response categories2
Responses per respondent9.626
Responses per item21577.923
Density0.740
LongitudinalFALSE

Classification

age rangeMixed
sampleGeneral/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct namePrecautionary Behavior

Item text

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

InstrumentEncuesta Nacional de Victimización 2017 (ENV 2017) - Medidas de seguridad (MS), pregunta 10: actividades que dejó de hacer por razones de seguridad
Mean words per item6.846
Mean characters per item43.923
Mean characters per response2
Flesch-Kincaid grade level5.642

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, argentina_2017_victimization.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 hch04
cov_sexCovariate hch03

What item codes and covariate values stand for is in the source’s codebook, env2017_diccionario_registros.pdf, and its questionnaire, env_cuestionario_06_17.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_2017_victimization_precaution")
# Python
pip install irw

import irw
df = irw.fetch("argentina_2017_victimization_precaution")

How to cite

@dataset{encuesta_nacional_victimizacion,
  title={Encuesta Nacional de Victimización},
  author={{Instituto Nacional de Estadística y Censos (INDEC)}},
  year={n.d.},
  url={https://www.indec.gob.ar/indec/web/Nivel4-Tema-4-27-137},
  organization={Instituto Nacional de Estadística y Censos}
}

Version and provenance

IRW versionv566
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