medvedev_2018_oxh

5,211 responses from 180 respondents to 29 items.

One of 4 tables from the same source; this one is the oxh table. The others are listed under Related tables.

About this table

Description29-item Oxford Happiness Questionnaire (1-6 Likert), raw as-recorded items (reverse-coded duplicate columns excluded)
ReferenceMedvedev ON (2018). Exploring constructs of well-being, happiness and quality of life. PeerJ.
DOI10.7717/peerj.4903
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC5985772

Size and shape

Responses5,211
Respondents180
Items29
Response categories6
Responses per respondent28.950
Responses per item179.690
Density0.998
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentOxford Happiness Questionnaire (OHQ)
Mean words per item7.724
Mean characters per item39.172
Mean characters per response16.167
Flesch-Kincaid grade level4.543

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_ethnicityCovariate not traced
cov_genderCovariate not traced

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("medvedev_2018_oxh")
# Python
pip install irw

import irw
df = irw.fetch("medvedev_2018_oxh")

How to cite

@article{Medvedev_2018, title={Exploring constructs of well-being, happiness and quality of life}, volume={6}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.4903}, DOI={10.7717/peerj.4903}, journal={PeerJ}, publisher={PeerJ}, author={Medvedev, Oleg N. and Landhuis, C. Erik}, year={2018}, month=June, pages={e4903} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0