4,860 responses from 484 respondents to 10 items.
| Description | PROMIS Global health scale |
|---|---|
| Reference | Stone, Arthur A.; Broderick, Joan E., 2021, "Ecological Validity of PROMIS Instruments", https://doi.org/10.7910/DVN/G4E2SR, Harvard Dataverse, V1 Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS ®). Qual Life Res. 2014;23(4):1245-1253. doi:10.1007/s11136-013-0553-z |
| DOI | 10.1007/s11136-013-0553-z |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/G4E2SR |
| Responses | 4,860 |
|---|---|
| Respondents | 484 |
| Items | 10 |
| Response categories | 11 |
| Responses per respondent | 10.041 |
| Responses per item | 486 |
| Density | 1.004 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical, General/non-specific |
| construct type | Affective/mental health, Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | PROMIS Global health scale |
cov_agecov_benefitscov_educationcov_employedcov_gendercov_herntypecov_if_latcov_incomecov_maritalcov_racegroupiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("evpromisi_stone_2021_global")
# Python
pip install irw
import irw
df = irw.fetch("evpromisi_stone_2021_global")
| 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 |