pham_2026_bsyn
3,648 responses from 456 respondents to 8 items.
About this table
| Description | Digital Burnout. IRW table pham_2026_bsyn: 456 respondents x 8 items, 3648 responses. |
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| Reference | Pham, Q. (2026). Digital Burnout. Mendeley Data, V1. |
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| Licence | CC BY 4.0 |
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| Source data | https://data.mendeley.com/datasets/htwjk32j59 |
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Size and shape
| Responses | 3,648 |
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| Respondents | 456 |
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| Items | 8 |
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| Response categories | 5 |
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| Responses per respondent | 8 |
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| Responses per item | 456 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | vie |
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Columns
cov_age_bandcov_emotion_single_itemcov_employment_statuscov_follower_countcov_gendercov_interactioncov_majorcov_posting_frequencycov_social_media_frequencycov_stress_single_itemcov_work_fieldiditemresp
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("pham_2026_bsyn")
# Python
pip install irw
import irw
df = irw.fetch("pham_2026_bsyn")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_5 v4.0 |
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| Redivis dataset DOI | 10.57761/yvjw-0981 |
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| Manifest pin for this IRW version | v4.0 |
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| Metadata source | irw_meta v23.0 |
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