IJLS_Eersel_2024_Optimism

1,194 responses from 199 respondents to 6 items.

One of 7 tables from the same source; this one is the Optimism table. The others are listed under Related tables.

About this table

DescriptionOptimism amongst sick-listed employees
Referencevan 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
LicenceCC0 1.0
Source datahttps://dataverse.nl/dataset.xhtml?persistentId=doi:10.34894/FDDFTJ

Size and shape

Responses1,194
Respondents199
Items6
Response categories5
Responses per respondent6
Responses per item199
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)dut
construct namePre-Job Loss Grief Reactions

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentLife Orientation Test-Revised (LOT-R), six scored items, Dutch administration. van Eersel, Hulshof, Wickham, Smid & Boelen (2024), 'Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent Job Loss Scale', BMC Psychology 12:118. Deposit doi:10.34894/FDDFTJ (DataverseNL, CC0): item wording and per-item response labels are the SPSS variable and value labels of 'IJLS [dataset].sav', corroborated by IJLS_readme.txt, which lists the same wording and coding and states '[all items were translated from Dutch to English]'. Items 2, 3 and 5 are reverse-keyed and the source stores them ALREADY REVERSED -- their value labels run 1 = Strongly agree to 5 = Strongly disagree -- so the anchors shipped for those three are inverted relative to the other three, exactly as the source has them.
Mean words per item12
Mean characters per item61.833
Mean characters per response10.200
Flesch-Kincaid grade level5.807

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, IJLS_Eersel_2024.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("IJLS_Eersel_2024_Optimism")
# Python
pip install irw

import irw
df = irw.fetch("IJLS_Eersel_2024_Optimism")

How to cite

@misc{https://doi.org/10.34894/fddftj,
  doi = {10.34894/FDDFTJ},
  url = {https://dataverse.nl/citation?persistentId=doi:10.34894/FDDFTJ},
  author = {Van Eersel, Janske and Hulshof, Inge and Wickham, Miriam and Smid, Geert and Boelen, Paul},
  title = {Pre-job loss grief reactions and work attachment among sick-listed employees: Introduction of the imminent job loss scale},
  publisher = {DataverseNL},
  year = {2024}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0