Data · dataset · 2026
Leisure under Lock: Cognitive Activation and Motivation Erosion as Mechanisms Undermining Experiential Quality of Leisure Time
Listed in IISH Dataverse
Data and Supplemental Materials for Leisure under Lock: Cognitive Activation and Motivation Erosion as Mechanisms Undermining Experiential Quality of Leisure Time.
Description
Most people switch between work and nonwork roles daily. Past research shows that work stressors can impair micro-role transitions from work to nonwork by activating work-related cognitions.
However, motivational processes may be equally important for understanding why psychologically transitioning into nonwork roles fails. Therefore, we examine motivation erosion (i.e. reduced leisure-related self-efficacy) alongside cognitive activation (i.e. increased negative work prospection) as parallel processes interfering with successful transitioning from the work role to nonwork roles. Accordingly, in a preregistered 14- day diary study with morning and after-work measurements, we examined the effects of daily unfinished tasks and anticipated workload on evening experiential quality of leisure time (i.e. the extent to which free time is pleasurable, meaningful, and engaging) via increased negative work prospection and diminished leisure-related self-efficacy.
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In addition, we tested job involvement, trait mindfulness, and psychological flexibility as cross-level moderators. Dynamic multilevel structural equation model path results (N = 179, n = 1,1849) support all hypotheses. Additionally, we found that psychological flexibility offsets the negative effect of unfinished tasks on leisure-related self-efficacy.
Our findings highlight that work demands spilling over into nonwork time affects leisure time experiences, impacting daily quality of life through a cognitive, as well as a motivational mechanism.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FUIBTVT ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/uibtvt ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FUIBT… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Social Sciences
- From keywords
- Social Science
- Inferred from text
- Human geography 72%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/UIBTVT | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4406 | enrichment · datasets iisg amsterdam | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:social-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |