6,785 responses from 1,753 respondents to 4 items.
| Description | Agreement with statements on personal political influence, government responsiveness, understanding political issues and being better informed than most people |
|---|---|
| Reference | Centro de Investigaciones Sociológicas (CIS), Ciudadanía (ISSP), Estudio 3020 |
| Licence | Custom |
| Source data | https://www.cis.es/es/estudios/ciudadania-issp-?cuestionario=16860&muestra=22521&pregunta=541045&variable=630618&chartType=bar |
| Responses | 6,785 |
|---|---|
| Respondents | 1,753 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 3.871 |
| Responses per item | 1696.250 |
| Density | 0.968 |
| 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 | Political efficacy |
cov_agecov_sexiditemresp
Custom licence — check the terms before reuse at the source data.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("spain_2014_citizenship_efficacy")
# Python
pip install irw
import irw
df = irw.fetch("spain_2014_citizenship_efficacy")
@dataset{CIS2023,
author = {{Centro de Investigaciones Sociológicas (CIS)}},
title = {Ciudadanía (ISSP) - Estudio 3020},
year = {2023},
url = {https://www.cis.es/es/estudios/ciudadania-issp-?cuestionario=16860&muestra=22521&pregunta=541045&variable=630618&chartType=bar}
}
| IRW version | v407 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v3.2 |
| Redivis dataset DOI | 10.57761/yvkw-nj32 |
| Manifest pin for this IRW version | v3.2 |
| Metadata source | irw_meta v24.0 |