amarilla_2020_sf12
10,236 responses from 224 respondents to 12 items.
About this table
| Description | 12-item SF-12 health survey, hip fracture patients followed baseline/1-month/6-month/1-year (wave column), Spain (n=224) |
| Reference | Amarilla-Donoso FJ, et al (2020). Quality of life after hip fracture: a 12-month prospective study. PeerJ. |
| DOI | 10.7717/peerj.9215 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC7304420 |
Size and shape
| Responses | 10,236 |
| Respondents | 224 |
| Items | 12 |
| Response categories | 6 |
| Responses per respondent | 45.696 |
| Responses per item | 853 |
| Density | 3.808 |
| Longitudinal | TRUE |
Classification
| age range | Elderly (minimum age >50) |
| sample | Clinical |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | SF-12 Health Survey |
| Mean words per item | 23.021 |
| Mean characters per item | 129.532 |
| Mean characters per response | 13.234 |
| Flesch-Kincaid grade level | 6.311 |
Columns
cov_agecov_educationcov_incomecov_marital_statuscov_sexiditemrespwave
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("amarilla_2020_sf12")
# Python
pip install irw
import irw
df = irw.fetch("amarilla_2020_sf12")
Version and provenance
| IRW version | v393 |
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |