About this table

Description	WHOQOL-BREF, 26 items, 1-5 (Q3, Q4, Q26 as stored; direction undetermined); N = 170 adult residents of a low-cost public housing estate in Kuala Lumpur; cov_gender, cov_age, cov_ethnicity, cov_education, cov_marital, cov_income, cov_b40, cov_smoking.
Reference	Gunandran, S., & Mahalingam, D. (2023). Quality of life in low-income households among residents in Perumahan Awam Sri Johor, Cheras [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/M93O7B
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/M93O7B

Notes

The deposit's domain totals equal plain sums of the stored items, so the negatively worded Q3, Q4 and Q26 are either stored already reversed or were never reversed; their item-rest correlations are about zero, so the direction cannot be determined from the data. Shipped as stored.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses	4,420
Respondents	170
Items	26
Response categories	5
Responses per respondent	26
Responses per item	170
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Targeted/specific
construct type	Affective/mental health, Physical health/functioning
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	may, eng
construct name	WHOQOL-BREF

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gunandran_2023_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.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`Age`
`cov_b40`	Covariate	`B40 Grouping`
`cov_education`	Covariate	`Education Level`
`cov_ethnicity`	Covariate	`Ethnicity`
`cov_gender`	Covariate	`Gender`
`cov_income`	Covariate	`Household Income (RM)`
`cov_marital`	Covariate	`Marital Status`
`cov_smoking`	Covariate	`Smoking Status`

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

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("gunandran_2023_whoqol_bref")

# Python
pip install irw

import irw
df = irw.fetch("gunandran_2023_whoqol_bref")

How to cite

@misc{https://doi.org/10.7910/dvn/m93o7b,
  doi = {10.7910/DVN/M93O7B},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/M93O7B},
  author = {Gunandran, Sarrvesh and Mahalingam, Dinesh},
  keywords = {Medicine, Health and Life Sciences, Quality of Life, WHOQOL-BREF},
  title = {Quality of life in low-income households among residents in Perumahan Awam Sri Johor, Cheras},
  publisher = {Harvard Dataverse},
  year = {2023}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_5 v8.5
Redivis dataset DOI	10.57761/41xy-5k56
Manifest pin for this IRW version	v8.5
Metadata source	irw_meta v44.0