burkert_2019_whoqol_bref

410,046 responses from 15,771 respondents to 26 items.

About this table

Description26-item WHOQOL-BREF quality-of-life scale (1-5 Likert; physical/psychological/social/environment domains), Austrian Health Interview Survey 2014/2015 adults (n=15771), Austria
ReferenceBurkert NT, Freidl W (2019). Pronounced social inequality in health-related factors and quality of life in women and men from Austria who are overweight or obese. PeerJ.
DOI10.7717/peerj.6773
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC6510219

Size and shape

Responses410,046
Respondents15,771
Items26
Response categories5
Responses per respondent26
Responses per item15,771
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentWHOQOL-BREF (World Health Organization Quality of Life, Kurzversion), deutschsprachige Version; Modul Lebensqualität der Österreichischen Gesundheitsbefragung (ATHIS) 2014
Mean words per item8.654
Mean characters per item57.654
Mean characters per response12.508
Flesch-Kincaid grade level9.864

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, burkert_2019_whoqol_bref.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).lfnr
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("burkert_2019_whoqol_bref")
# Python
pip install irw

import irw
df = irw.fetch("burkert_2019_whoqol_bref")

How to cite

@article{Burkert_2019, title={Pronounced social inequality in health-related factors and quality of life in women and men from Austria who are overweight or obese}, volume={7}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.6773}, DOI={10.7717/peerj.6773}, journal={PeerJ}, publisher={PeerJ}, author={Burkert, Nathalie Tatjana and Freidl, Wolfgang}, year={2019}, month=May, pages={e6773} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0