66,519 responses from 7,638 respondents to 9 items.
| Description | Degree of identification with social ambits such as class, country, gender, profession, ideology, place, generation, religion, and sexual orientation |
|---|---|
| Reference | Centro de Investigaciones Sociológicas (CIS), Estudio sobre identidades culturales, nacionales y europeas, Estudio 3409 |
| Licence | Custom |
| Source data | https://www.cis.es/es/estudios/estudio-sobre-identidades-culturales-nacionales-y-europeas?cuestionario=17764&muestra=25769&pregunta=636881&variable=1003464&chartType=bar |
| Responses | 66,519 |
|---|---|
| Respondents | 7,638 |
| Items | 9 |
| Response categories | 4 |
| Responses per respondent | 8.709 |
| Responses per item | 7,391 |
| Density | 0.968 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Social identity |
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_2023_identity_identification")
# Python
pip install irw
import irw
df = irw.fetch("spain_2023_identity_identification")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |