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Record W2423143704 · doi:10.1037/pag0000096

Partner dissimilarity in life satisfaction: Stability and change, correlates, and outcomes.

2016· article· en· W2423143704 on OpenAlexafffund
Hannah M. Schade, Gizem Hülür, Frank J. Infurna, Christiane A. Hoppmann, Denis Gerstorf

Bibliographic record

VenuePsychology and Aging · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsPsychologyPsycINFOLife satisfactionDevelopmental psychologyMultilevel modelLongitudinal studyInterpersonal relationshipSocial psychologyMEDLINE

Abstract

fetched live from OpenAlex

Dissimilarities between partners in prominent domains of functioning are often thought to be a risk factor for compromised relationship quality and relationship dissolution. However, the nature, correlates, and consequences of developmental trajectories of within-couple dissimilarities in key quality-of-life indicators such as life satisfaction are not well understood. In the current study, we applied multilevel growth models to up to 31-wave annual longitudinal data from 13,714 romantic partners in the German Socio-Economic Panel (age at baseline: M = 43 years, SD = 15, range 17-92 years). Partner dissimilarity was calculated at the within-couple level and indicated considerable differences in life satisfaction between partners within a given couple (0.64 SD or 1.14 units on an 11-point scale). Over time, partner dissimilarity slightly increased among partners who remained together. Examining individual and relationship correlates indicated that dissimilarity was greatest for couples who were older, had children, or had a shorter relationship history. Also, dissimilarity was greater when individual life satisfaction or satisfaction with family life was low, particularly among wives, as well as among couples who later separated. Examining consequences, larger levels of and increases in partner dissimilarity were independently predictive of lower satisfaction with family life at the end of the study, over and above individual life satisfaction of either partner as well as key individual and relationship correlates. Our discussion focuses on the advantages of investigating (developmental trajectories of) within-couple dissimilarity and its implications for individual and partner development. (PsycINFO Database Record

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.082
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.087
GPT teacher head0.405
Teacher spread0.319 · 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

Citations13
Published2016
Admission routes2
Has abstractyes

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