Item Response Warehouse / Tables / bukurov_2022_sf36bukurov_2022_sf36
8,842 responses from 246 respondents to 36 items.
About this table
Description 36-item SF-36 health survey (mixed 2/3/5/6-pt per-item scales, standard SF-36 item format), same n=246 chronic otitis media sample as bukurov_2022_comq12 Reference Bukurov B, et al (2022). Can short PROMs support valid factor-based sub-scores? Example of COMQ-12 in chronic otitis media. PLOS ONE. DOI 10.1371/journal.pone.0274513 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0274513
Size and shape
Responses 8,842 Respondents 246 Items 36 Response categories 6 Responses per respondent 35.943 Responses per item 245.611 Density 0.998 Longitudinal FALSE
Classification
age range Adult (18+) sample Clinical measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) srp
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 (36-Item Short Form Health Survey) Mean words per item 9.443 Mean characters per item 52.262 Mean characters per response 15.228 Flesch-Kincaid grade level 5.218
Columns
cov_age cov_education cov_gender id item resp
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("bukurov_2022_sf36")
# Python
pip install irw
import irw
df = irw.fetch("bukurov_2022_sf36")
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
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.