chile_2023_social-welfare-survey_oo
92,031 responses from 11,234 respondents to 17 items.
About this table
| Description | Chile CASEN work/occupation questions |
|---|
| Licence | CC BY 4.0 |
|---|
| Source data | https://bidat.gob.cl/details/ficha/dataset/f80237f5-9231-40d1-a1f1-ed93751dc2ac |
|---|
Size and shape
| Responses | 92,031 |
|---|
| Respondents | 11,234 |
|---|
| Items | 17 |
|---|
| Response categories | 5 |
|---|
| Responses per respondent | 8.192 |
|---|
| Responses per item | 5413.588 |
|---|
| Density | 0.482 |
|---|
| 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 Work Occupation |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Chile CASEN work/occupation questions |
|---|
| Mean words per item | 11.354 |
|---|
| Mean characters per item | 61.031 |
|---|
| Mean characters per response | 11.551 |
|---|
| Flesch-Kincaid grade level | 4.001 |
|---|
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_oo")
# Python
pip install irw
import irw
df = irw.fetch("chile_2023_social-welfare-survey_oo")
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 |
|---|