2,808 responses from 487 respondents to 6 items.
| Description | Translation and Psychometric Testing of the Hägerbäumer Presenteeism Scale in English |
|---|---|
| Reference | Golz, C., Kilcher, G., Gerlach, M. et al. Translation and Psychometric Testing of the Hägerbäumer Presenteeism Scale in English. J Occup Rehabil 34, 863–872 (2024). https://doi.org/10.1007/s10926-024-10174-2 |
| DOI | 10.1007/s10926-024-10174-2 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/wh483/overview |
| Responses | 2,808 |
|---|---|
| Respondents | 487 |
| Items | 6 |
| Response categories | 6 |
| Responses per respondent | 5.766 |
| Responses per item | 468 |
| Density | 0.961 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Multi-item Presenteeism Scale |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("presenteeism_golz_2024")
# Python
pip install irw
import irw
df = irw.fetch("presenteeism_golz_2024")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |