arabaci_2025_task_diversity

600 responses from 200 respondents to 3 items.

One of 4 tables from the same source; this one is the task_diversity table. The others are listed under Related tables.

About this table

DescriptionTask diversity scale, 3 items, 1-5, employees. 200 respondents x 3 items = 600 responses.
ReferenceArabaci, Z., & Akca, C. (2025). A Study on the Effects of Task Diversity and Skill Diversity on Burnout and Turnover Intention [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/QBUOHG
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/QBUOHG

Size and shape

Responses600
Respondents200
Items3
Response categories5
Responses per respondent3
Responses per item200
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)tur

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, arabaci_2025_task_diversity.py. 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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_age_bandCovariate Age
cov_educationCovariate Educational level
cov_experienceCovariate Working experience (years)
cov_marital_statusCovariate Marital status
cov_sexCovariate Sex

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("arabaci_2025_task_diversity")
# Python
pip install irw

import irw
df = irw.fetch("arabaci_2025_task_diversity")

How to cite

@misc{https://doi.org/10.7910/dvn/qbuohg,
  doi = {10.7910/DVN/QBUOHG},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/QBUOHG},
  author = {Arabacı, Zeynep and AKÇA, COŞKUN},
  keywords = {Business and Management, FOS: Economics and business},
  title = {A Study on the Effects of Task Diversity and Skill Diversity on Burnout and Turnover Intention: Blue-Collar Workers in the Forest Products and Furniture Industries in Türkiye},
  publisher = {Harvard Dataverse},
  year = {2025}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0