23,807 responses from 3,989 respondents to 6 items.
| Description | Rating of María Jesús Montero on personal attributes |
|---|---|
| Reference | Centro de Investigaciones Sociológicas (CIS), Postelectoral elecciones autonómicas 2026. Comunidad autónoma de Andalucía, Estudio 3566 |
| Licence | Custom |
| Source data | https://www.cis.es/es/estudios/postelectoral-elecciones-autonomicas-2026-comunidad-autonoma-de-andalucia?cuestionario=18056&muestra=26478&pregunta=660701&variable=1112721&chartType=bar |
| Responses | 23,807 |
|---|---|
| Respondents | 3,989 |
| Items | 6 |
| Response categories | 10 |
| Responses per respondent | 5.968 |
| Responses per item | 3967.833 |
| Density | 0.995 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Mixed |
| primary language(s) | spa |
| construct name | Candidate Attribute Evaluation (Montero) |
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_2026_elections_montero")
# Python
pip install irw
import irw
df = irw.fetch("spain_2026_elections_montero")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |