1,059,633 responses from 117,737 respondents to 9 items.
One of 12 tables from the same source; this one measures Crime Victimization (by type). The others are listed under Related tables.
| Description | Past-year (Sept 2010–Aug 2011) victimisation by crime type: fraud, four types of robbery, threat, injury, kidnapping, other (9 yes/no items, ENVIPI 7.5–7.10) |
|---|---|
| Reference | Encuesta de Victimización y Percepción de Inseguridad 2011, INEC |
| Licence | CC BY 4.0 |
| Source data | https://www.ecuadorencifras.gob.ec/encuesta-de-victimizacion-y-percepcion-de-inseguridad-2011/ |
| Responses | 1,059,633 |
|---|---|
| Respondents | 117,737 |
| Items | 9 |
| Response categories | 2 |
| Responses per respondent | 9 |
| Responses per item | 117,737 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Mixed |
| primary language(s) | spa |
| construct name | Crime Victimization (by type) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Encuesta de Victimización y Percepción de Inseguridad 2011 (ENVIPI), INEC Ecuador - preguntas 7.5 a 7.10 |
|---|---|
| Mean words per item | 19.667 |
| Mean characters per item | 119.333 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 9.982 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ecuador_2011_safety.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 | P23 |
cov_education | Covariate | made in the build script |
cov_sex | Covariate | made in the build script |
What item codes and covariate values stand for is in the source’s questionnaire, Formulario_ENVIPI_2011.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("ecuador_2011_safety_crime")
# Python
pip install irw
import irw
df = irw.fetch("ecuador_2011_safety_crime")
@dataset{INEC2011,
author = {INEC},
title = {Encuesta de Victimización y Percepción de Inseguridad 2011},
year = {2011},
url = {https://www.ecuadorencifras.gob.ec/encuesta-de-victimizacion-y-percepcion-de-inseguridad-2011/}
}
| IRW version | v566 |
|---|---|
| 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 v43.0 |