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Cited by 165

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The Dynamic Spillover of Satisfaction Between Work and Marriage: The Role of Time and Mood.

Heller, Daniel, Watson, David·2005·Journal of Applied Psychology

Abstract

Previous research has indicated important linkages between work and family domains and roles. However, the nature of the dynamic spillover between job and marital satisfaction remains poorly understood. The current study tests both the concurrent and lagged associations between job and marital satisfaction at a within-individual level of analysis using a diary study of 76 fully employed, married adults. The authors further examine the mediating role of mood in this spillover process. Consistent with their hypotheses, findings indicate both a concurrent and a lagged (job to marital and marital to job) job satisfaction-marital satisfaction association at the within-subject level of analysis and lend some support for the mediating role of mood (most notably positive affect) in these associations. The authors hope these findings stimulate new research that uses more complex designs and comprehensive theoretical models to investigate work-family links.

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Metadata

Authors
Heller, D., & Watson, D.
Venue
Journal of Applied Psychology
Published
2005
Volume
90
Issue
6
Pages
1273-1279
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W1977307923
Cited by
165
References
4
FWCI
19.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Dynamic Spillover of Satisfaction Between Work and Marriage: The Role of Time and Mood. https://app.cochat.ai/papers/10.1037/0021-9010.90.6.1273
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Heller, D., & Watson, D. (2005). The Dynamic Spillover of Satisfaction Between Work and Marriage: The Role of Time and Mood. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.90.6.1273

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.