chile_2023_social-welfare-survey_u
295,369 responses from 11,234 respondents to 38 items.
About this table
| Description | Chile CASEN use of time ratings |
|---|
| Licence | CC BY 4.0 |
|---|
| Source data | https://bidat.gob.cl/details/ficha/dataset/f80237f5-9231-40d1-a1f1-ed93751dc2ac |
|---|
Size and shape
| Responses | 295,369 |
|---|
| Respondents | 11,234 |
|---|
| Items | 38 |
|---|
| Response categories | 134 |
|---|
| Responses per respondent | 26.292 |
|---|
| Responses per item | 7772.868 |
|---|
| Density | 0.692 |
|---|
| Longitudinal | TRUE |
|---|
Classification
| age range | Mixed |
|---|
| sample | Internet-based, Representative |
|---|
| construct type | Opinion/attitude |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Mixed |
|---|
| primary language(s) | spa |
|---|
| construct name | CASEN Use of Time |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Encuesta de Bienestar Social 2023 (EBS 2023), Subsecretaría de Evaluación Social / Instituto Nacional de Estadísticas, Chile |
|---|
| Mean words per item | 11.585 |
|---|
| Mean characters per item | 57.622 |
|---|
| Mean characters per response | 2.274 |
|---|
| Flesch-Kincaid grade level | 3.548 |
|---|
Columns
cov_age_rangecov_genderdateiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("chile_2023_social-welfare-survey_u")
# Python
pip install irw
import irw
df = irw.fetch("chile_2023_social-welfare-survey_u")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
|---|
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
|---|
| Manifest pin for this IRW version | v19.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|