600 responses from 200 respondents to 3 items.
| Description | Turnover intention scale, 3 items, 1-5, employees. 200 respondents x 3 items = 600 responses. |
|---|---|
| Reference | Arabaci, 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 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/QBUOHG |
| Responses | 600 |
|---|---|
| Respondents | 200 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 3 |
| Responses per item | 200 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | tur |
cov_age_bandcov_educationcov_experiencecov_marital_statuscov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("arabaci_2025_turnover_intention")
# Python
pip install irw
import irw
df = irw.fetch("arabaci_2025_turnover_intention")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |