dalky_2020_sf36
18,305 responses from 523 respondents to 35 items.
About this table
| Description | SF-36 Health Survey raw items (35 items across 8 subscales + health-transition item), Syrian refugee women |
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| Reference | Nabolsi et al. (2020). The health-related quality of life of Syrian refugee women in their reproductive age. PeerJ. |
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| DOI | 10.7717/peerj.9990 |
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| Licence | CC BY 4.0 |
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| Source data | https://europepmc.org/article/PMC/PMC7519719 |
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Size and shape
| Responses | 18,305 |
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| Respondents | 523 |
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| Items | 35 |
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| Response categories | 6 |
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| Responses per respondent | 35 |
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| Responses per item | 523 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Mixed |
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| child age (for child-focused studies) | Adolescent (12-18y) |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | ara |
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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 | SF-36 Health Survey (Arabic version) |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 15.521 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_ageiditemresp
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("dalky_2020_sf36")
# Python
pip install irw
import irw
df = irw.fetch("dalky_2020_sf36")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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