3,303 responses from 200 respondents to 9 items.
| Description | Imminent job loss scale amongst sick-listed employees |
|---|---|
| Reference | van Eersel, J. H., Hulshof, I. L., Wickham, M. I., Smid, G. E., & Boelen, P. A. (2024). Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale. BMC psychology, 12(1), 118. van Eersel, Janske; Hulshof, Inge; Wickham, Miriam; Smid, Geert; Boelen, Paul, 2024, "Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale", https://doi.org/10.34894/FDDFTJ, DataverseNL, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.nl/dataset.xhtml?persistentId=doi:10.34894/FDDFTJ |
| Responses | 3,303 |
|---|---|
| Respondents | 200 |
| Items | 9 |
| Response categories | 5 |
| Responses per respondent | 16.515 |
| Responses per item | 367 |
| Density | 1.835 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | Pre-Job Loss Grief Reactions |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Imminent Job Loss Scale (IJLS) |
|---|---|
| Mean words per item | 12.111 |
| Mean characters per item | 60.111 |
| Mean characters per response | 6.200 |
| Flesch-Kincaid grade level | 5.480 |
iditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("IJLS_Eersel_2024_IJLSreaction")
# Python
pip install irw
import irw
df = irw.fetch("IJLS_Eersel_2024_IJLSreaction")
| 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 |