5,148,855 responses from 572,095 respondents to 9 items.
| Description | The Patient Health Questionnaire (PHQ-9) |
|---|---|
| Reference | Wang, W., Shen, X., Guo, X., Liu, S., Chen, Q., Ma, S., & Jian, Y. (2025). Psychometric evaluation of the insomnia severity index in 570,295 Chinese adolescents: A bifactor item-response theory analysis. Journal of Pacific Rim Psychology, 19, 18344909241310783. |
| DOI | 10.1177/183449092413107 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/s/59a2c9e849bc019da6e4?file=48176917 |
| Responses | 5,148,855 |
|---|---|
| Respondents | 572,095 |
| Items | 9 |
| Response categories | 4 |
| Responses per respondent | 9 |
| Responses per item | 572,095 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | The Patient Health Questionnaire (PHQ-9) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | The 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 |
iditemresp
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("phq_insomnia_wang2025")
# Python
pip install irw
import irw
df = irw.fetch("phq_insomnia_wang2025")
| 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 |