chile_2023_social-welfare-survey_rr
199,131 responses from 11,234 respondents to 33 items.
About this table
| Description | Chile CASEN social relationships ratings |
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| Licence | CC BY 4.0 |
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| Source data | https://bidat.gob.cl/details/ficha/dataset/f80237f5-9231-40d1-a1f1-ed93751dc2ac |
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Size and shape
| Responses | 199,131 |
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| Respondents | 11,234 |
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| Items | 33 |
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| Response categories | 32 |
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| Responses per respondent | 17.726 |
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| Responses per item | 6034.273 |
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| Density | 0.537 |
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| Longitudinal | TRUE |
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Classification
| age range | Mixed |
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| sample | Internet-based, Representative |
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| construct type | Opinion/attitude |
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| measurement tool | Survey/questionnaire |
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| item format | Mixed |
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| primary language(s) | spa |
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| construct name | CASEN Social Relationships |
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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 |
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| Mean words per item | 9.936 |
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| Mean characters per item | 54.782 |
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| Mean characters per response | 5.127 |
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| Flesch-Kincaid grade level | 4.958 |
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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_rr")
# Python
pip install irw
import irw
df = irw.fetch("chile_2023_social-welfare-survey_rr")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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