10,590 responses from 706 respondents to 15 items.
| Description | Job Crafting Scale (Tims et al.), the 15 expansive items rated 1-5 across three dimensions: increasing structural job resources, increasing social job resources, and increasing challenging job demands. Responses from 706 employees pooling the paper's two samples, the Netherlands (N=303) and Germany (N=404), distinguished by cov_country. |
|---|---|
| Reference | Tims, M.; Akkermans, J. (2017). Core self-evaluations and work engagement: Testing a perception, action, and development path. PLOS ONE, 12(8), e0182745. https://doi.org/10.1371/journal.pone.0182745 |
| DOI | 10.1371/journal.pone.0182745 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0182745.s002 |
| Responses | 10,590 |
|---|---|
| Respondents | 706 |
| Items | 15 |
| Response categories | 5 |
| Responses per respondent | 15 |
| Responses per item | 706 |
| Density | 1 |
| Longitudinal | FALSE |
cov_agecov_contract_hourscov_countrycov_educationcov_sectorcov_sexcov_tenurecov_work_experiencecov_work_hoursiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("tims_2017_job_crafting")
# Python
pip install irw
import irw
df = irw.fetch("tims_2017_job_crafting")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v2.1 |
| Redivis dataset DOI | 10.57761/fr6e-wp05 |
| Manifest pin for this IRW version | v2.1 |
| Metadata source | irw_meta v23.0 |