70,077 responses from 1,582 respondents to 9 items.
| Description | Patient Health Questionnaire (PHQ-9) |
|---|---|
| Reference | Parsons, S., Todorovic, A., Lim, M. C., Songco, A., & Fox, E. (2022). Data and protocol for the Oxford Achieving Resilience during COVID-19 (ARC) study. Journal of Open Psychology Data, 10(1), 4-4. |
| DOI | 10.5334/jopd.56 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/4b85w/ |
| Responses | 70,077 |
|---|---|
| Respondents | 1,582 |
| Items | 9 |
| Response categories | 4 |
| Responses per respondent | 44.296 |
| Responses per item | 7786.333 |
| Density | 4.922 |
| Longitudinal | TRUE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational, Internet-based |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Patient Health Questionnaire (PHQ-9) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Patient Health Questionnaire (PHQ-9) |
|---|---|
| Mean words per item | 11.778 |
| Mean characters per item | 68.778 |
| Mean characters per response | 15.250 |
| Flesch-Kincaid grade level | 7.135 |
cov_agecov_countrycov_educationcov_employmentcov_ethnicitycov_gendercov_relationship_statuscov_sexual_orientationcov_transiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("oxfordcovid_xue_2024_phq")
# Python
pip install irw
import irw
df = irw.fetch("oxfordcovid_xue_2024_phq")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |