112,255 responses from 29,195 respondents to 4 items.
One of 7 tables from the same source; this one measures Perceived Crime Trend. The others are listed under Related tables.
| Description | Perceived change in crime at four geographic levels |
|---|---|
| Reference | ENCUESTA NACIONAL DE VICTIMIZACIÓN |
| Licence | CC-BY (unspecified) |
| Source data | https://www.indec.gob.ar/indec/web/Nivel4-Tema-4-27-137 |
| Responses | 112,255 |
|---|---|
| Respondents | 29,195 |
| Items | 4 |
| Response categories | 3 |
| Responses per respondent | 3.845 |
| Responses per item | 28063.750 |
| Density | 0.961 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Perceived Crime Trend |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Encuesta Nacional de Victimización 2017 (ENV 2017) - Percepción de seguridad ciudadana (PS), pregunta 4: evolución de la delincuencia por zona |
|---|---|
| Mean words per item | 4.750 |
| Mean characters per item | 22.500 |
| Mean characters per response | 11 |
| Flesch-Kincaid grade level | -0.074 |
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.
| 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 | hch04 |
cov_sex | Covariate | 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.
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_trend")
# Python
pip install irw
import irw
df = irw.fetch("argentina_2017_victimization_trend")
@dataset{encuesta_nacional_victimizacion,
title={Encuesta Nacional de Victimización},
organization={INDEC},
url={https://www.indec.gob.ar/indec/web/Nivel4-Tema-4-27-137},
note={Instituto Nacional de Estadística y Censos de Argentina}
}
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.10 |
| Redivis dataset DOI | 10.57761/8zbf-t397 |
| Manifest pin for this IRW version | v5.10 |
| Metadata source | irw_meta v39.0 |