24,254 responses from 2,461 respondents to 10 items.
| Description | Valuation of professions including military occupations |
|---|---|
| Reference | Centro de Investigaciones Sociológicas (CIS), La defensa nacional y las Fuerzas Armadas (X), Estudio 2998 |
| Licence | Custom |
| Source data | https://www.cis.es/es/estudios/la-defensa-nacional-y-las-fuerzas-armadas-x-?cuestionario=16525&muestra=21866&pregunta=269269&variable=559566&chartType=bar |
| Responses | 24,254 |
|---|---|
| Respondents | 2,461 |
| Items | 10 |
| Response categories | 11 |
| Responses per respondent | 9.855 |
| Responses per item | 2425.400 |
| Density | 0.986 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Slider/continuous |
| primary language(s) | spa |
| construct name | Occupational prestige |
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_2013_defense_professions")
# Python
pip install irw
import irw
df = irw.fetch("spain_2013_defense_professions")
@dataset{CIS2998,
author = {{Centro de Investigaciones Sociológicas}},
title = {La defensa nacional y las Fuerzas Armadas (X)},
year = {2011},
number = {2998},
organization = {Centro de Investigaciones Sociológicas},
url = {https://www.cis.es/es/estudios/la-defensa-nacional-y-las-fuerzas-armadas-x-?cuestionario=16525&muestra=21866&pregunta=269269&variable=559566&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 |