cormier_2024_phq4

3,592 responses from 898 respondents to 4 items.

One of 4 tables from the same source; this one is the phq4 table. The others are listed under Related tables.

About this table

DescriptionPHQ-4 (4 items, combined depression/anxiety ultra-brief screener), adults with/without hearing loss, N=898
ReferenceCormier K, Brennan C, Sharma A (2024). Hearing loss and psychosocial outcomes: Influences of social emotional aspects and personality. PLOS ONE, 19(6), e0304428. https://doi.org/10.1371/journal.pone.0304428
DOI10.1371/journal.pone.0304428
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0304428.s002

Size and shape

Responses3,592
Respondents898
Items4
Response categories4
Responses per respondent4
Responses per item898
Density1
LongitudinalFALSE

Classification

sampleInternet-based
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.

InstrumentPHQ-4
Mean words per item18.500
Mean characters per item99.250
Mean characters per response15.250
Flesch-Kincaid grade level7.890

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cormier_2024_hearing_battery.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).ResponseId
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 source’s questionnaire, S1_Appendix.docx, which shows the item wording.

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("cormier_2024_phq4")
# Python
pip install irw

import irw
df = irw.fetch("cormier_2024_phq4")

How to cite

@article{Cormier_2024, title={Hearing loss and psychosocial outcomes: Influences of social emotional aspects and personality}, volume={19}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0304428}, DOI={10.1371/journal.pone.0304428}, number={6}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Cormier, Kayla and Brennan, Christine and Sharma, Anu}, editor={Saniasiaya, Jeyasakthy}, year={2024}, month=June, pages={e0304428} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0