skurvydas_2024_vigour
4,560 responses from 1,140 respondents to 4 items.
About this table
| Description | 4-item Brunel Mood Scale (BRUMS) Vigour subscale (Energetic/Active/Lively/Alert, 0-4 "not at all"-"extremely"), Lithuanian adults survey on leisure-time vs work-related physical activity |
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| Reference | Skurvydas A, et al. (2024) Leisure-time physical activity improves happiness, health, and mood profile better than work-related physical activity. PLoS ONE. |
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| DOI | 10.1371/journal.pone.0307744 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0307744.s002 |
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Size and shape
| Responses | 4,560 |
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| Respondents | 1,140 |
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| Items | 4 |
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| Response categories | 5 |
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| Responses per respondent | 4 |
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| Responses per item | 1,140 |
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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 | Internet-based |
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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) | lit |
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Columns
cov_agecov_bmicov_educationcov_gendercov_residencecov_subjective_healthcov_training_experienceiditemresp
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("skurvydas_2024_vigour")
# Python
pip install irw
import irw
df = irw.fetch("skurvydas_2024_vigour")
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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