434,103 responses from 15,961 respondents to 168 items.
| Description | Data from the pain Scale in the Wave 1 PROMIS study. |
|---|---|
| Reference | Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., ... & Hays, R. (2010). Initial adult health item banks and first wave testing of the patient-reported outcomes measurement information system (PROMIS™) network: 2005–2008. Journal of clinical epidemiology, 63(11), 1179. Cella, David, 2015, "PROMIS 1 Wave 1", https://doi.org/10.7910/DVN/0NGAKG, Harvard Dataverse, V3, UNF:6:sXYqKDzGWfX7QuTXNGpjGQ== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=hdl:1902.1/21134 |
| Responses | 434,103 |
|---|---|
| Respondents | 15,961 |
| Items | 168 |
| Response categories | 5 |
| Responses per respondent | 27.198 |
| Responses per item | 2583.946 |
| Density | 0.162 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical, Educational, General/non-specific |
| construct type | Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | pain |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("promis1wave1_pain")
# Python
pip install irw
import irw
df = irw.fetch("promis1wave1_pain")
| 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 |