4,377 responses from 487 respondents to 9 items.
| Description | Self-reported frequency of DSM-5 depression symptoms |
|---|---|
| Reference | Lorenzo Lorenzo-Luaces, Lauren A. Rutter, Matthew D. Scalco, Carving depression at its joints? Psychometric properties of the Sydney Melancholia Prototype Index, Psychiatry Research, Volume 293,2020, 113410, ISSN 0165-1781. |
| DOI | 10.1016/j.psychres.2020.113410 |
| Licence | Permission via Email |
| Source data | https://osf.io/69nwe/ |
| Responses | 4,377 |
|---|---|
| Respondents | 487 |
| Items | 9 |
| Response categories | 4 |
| Responses per respondent | 8.988 |
| Responses per item | 486.333 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Sydney Melancholia Prototype Index psychometrics - Depression severity |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Patient Health Questionnaire-9 (PHQ-9) |
|---|---|
| Mean words per item | 12 |
| Mean characters per item | 69.222 |
| Mean characters per response | 15.250 |
| Flesch-Kincaid grade level | 7.135 |
cov_agecov_ethniccov_gendercov_raceiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("smpi_lorenzoluaces_2020_phq9")
# Python
pip install irw
import irw
df = irw.fetch("smpi_lorenzoluaces_2020_phq9")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |