reinwarth_2023_phq4

9,824 responses from 2,464 respondents to 4 items.

About this table

DescriptionPHQ-4 (ultra-brief PHQ-2+GAD-2, 4 items, 1-4), representative German population sample, N=2464.
ReferenceReinwarth AC, Ernst M, Krakau L, Brahler E, Beutel ME (2023). Screening for loneliness in representative population samples: Validation of a single-item measure. PLOS ONE 18(2):e0279701.
DOI10.1371/journal.pone.0279701
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0279701

Size and shape

Responses9,824
Respondents2,464
Items4
Response categories4
Responses per respondent3.987
Responses per item2,456
Density0.997
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
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.

InstrumentPatient Health Questionnaire-4 (PHQ-4): PHQ-2 depression module (items q17_1, q17_2) and GAD-2 anxiety module (items q17_3, q17_4)
Mean words per item6.500
Mean characters per item39
Mean characters per response20.250
Flesch-Kincaid grade level6.007

Columns

cov_agecov_educationcov_gendercov_marital_statusiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("reinwarth_2023_phq4")
# Python
pip install irw

import irw
df = irw.fetch("reinwarth_2023_phq4")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0