szabo_2025_molbi
1,840 responses from 184 respondents to 10 items.
About this table
| Description | Oldenburg Burnout Inventory (MOLBI), 10 items, 1-4; Hungarian entrepreneurs. 184 respondents x 10 items = 1840 responses. |
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| Reference | Szabo, A. (2025). Burnout in Entrepreneurs Predicted by Stress and Harmonious Passion [Data set]. Mendeley Data. https://doi.org/10.17632/jkwhf3ys6z |
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| Licence | CC BY 4.0 |
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| Source data | https://data.mendeley.com/datasets/jkwhf3ys6z |
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Size and shape
| Responses | 1,840 |
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| Respondents | 184 |
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| Items | 10 |
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| Response categories | 4 |
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| Responses per respondent | 10 |
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| Responses per item | 184 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Workplace |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | hun |
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Columns
cov_agecov_business_stagecov_educationcov_family_statuscov_fieldcov_gendercov_positioniditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("szabo_2025_molbi")
# Python
pip install irw
import irw
df = irw.fetch("szabo_2025_molbi")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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