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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, depression_hymcohort_tang2022.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# 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")
@article{Tang_2022, title={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}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0278232}, DOI={10.1371/journal.pone.0278232}, number={11}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Tang, Xiaodan and Schalet, Benjamin D. and Janulis, Patrick and Kipke, Michele D. and Kaat, Aaron and Mustanski, Brian and Newcomb, Michael E. and Ragsdale, Amy and Kim, Soyeon and Siminski, Sue and Gorbach, Pamina M.}, editor={Chen, Chong}, year={2022}, month=nov, pages={e0278232} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |