10,752 responses from 448 respondents to 24 items.
| Description | depression via promis and BSI |
|---|---|
| Reference | Tang, X., Schalet, B. D., Janulis, P., Kipke, M. D., Kaat, A., Mustanski, B., ... & Gorbach, P. M. (2022). Can a linking crosswalk table be applied to a different population? An independent validation study for a crosswalk between BSI depression and PROMIS depression scales. PloS one, 17(11), e0278232. Tang, Xiaodan, 2022, "Replication Data for: BSI Depression and PROMIS Depression data from the HYM cohort", https://doi.org/10.7910/DVN/RX8OLL, Harvard Dataverse, V1, UNF:6:z+36Js2KhMWNDytcNIo+NQ== [fileUNF] |
| DOI | 10.1371/journal.pone.0278232 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RX8OLL |
| Responses | 10,752 |
|---|---|
| Respondents | 448 |
| Items | 24 |
| Response categories | 5 |
| Responses per respondent | 24 |
| Responses per item | 448 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Clinical, Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | BSI Depression and PROMIS Depression |
cov_agecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("depression_hymcohort_tang2022")
# Python
pip install irw
import irw
df = irw.fetch("depression_hymcohort_tang2022")
| 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 |