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Record W1977307923 · doi:10.1037/0021-9010.90.6.1273

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

2005· article· en· W1977307923 on OpenAlexaff
Daniel Heller, David Watson

Bibliographic record

VenueJournal of Applied Psychology · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Waterloo
FundersNational Institute of Mental Health
KeywordsPsychologySpillover effectJob satisfactionSocial psychologyMoodAffect (linguistics)Association (psychology)Work (physics)Job attitudeJob performanceEngineeringEconomics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.298
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations163
Published2005
Admission routes1
Has abstractyes

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