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Record W4410093603 · doi:10.1037/tra0001930

The role of different types of stress on relationship satisfaction: A dyadic longitudinal study.

2025· article· en· W4410093603 on OpenAlexafffund
Jalisa Lynn Karim, Uzma S. Rehman, Kendra S. Wasson Simpson

Bibliographic record

VenuePsychological Trauma Theory Research Practice and Policy · 2025
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyLongitudinal studyStress (linguistics)Social psychologyMathematicsStatistics

Abstract

fetched live from OpenAlex

OBJECTIVE: = 225 at Time 6). RESULTS: All three measures of stress (i.e., stressors, worry, and overall stress) were associated with decreased relationship satisfaction. When we examined actor and partner effects and their interactions simultaneously, actor effects were present, but partner main effects were not significant. For the stress variable that assessed subjective levels of stress across different areas of life, there was significant interaction between partners on this variable, and the results were consistent with a partial contagion effect. Finally, significant interactions between conflict tactics and the two subjective stress measures showed that conflict tactics used by partners moderated the effects of subjective stress on relationship satisfaction. CONCLUSIONS: These findings show that associations between stress and relationship functioning are complex and vary depending on how stress is conceptualized and measured. Our findings highlight the potential for greater theoretical integration between dyadic models of stress, specifically the Vulnerability Stress Adaption model and the transactional model of stress. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.163
GPT teacher head0.559
Teacher spread0.396 · 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 teacher head, 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

Citations0
Published2025
Admission routes2
Has abstractyes

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