The longitudinal association of relationship satisfaction and sexual satisfaction in long-term relationships.
Bibliographic record
Abstract
Several prominent models of relationship satisfaction and sexual satisfaction imply directional relationships between these constructs (e.g., attachment theory, social exchange models of relationship satisfaction, the interpersonal exchange model of sexual satisfaction). Previous research has demonstrated that sexual satisfaction and relationship satisfaction are distinct but correlated constructs, but relatively few studies have examined how they are related over time. Thus, the purpose of this study was to examine this association. A sample of heterosexual couples (N = 113) completed a longitudinal study spanning 2 years. At Times 1 and 2 they completed measures of relationship satisfaction and sexual satisfaction. Data were analyzed according to the principles of the actor-partner interdependence model using structural equation modeling. Significant actor effects were detected such that, for both men and women, one's own earlier sexual satisfaction predicted one's later relationship satisfaction. In contrast, one's own earlier relationship satisfaction did not significantly predict one's subsequent sexual satisfaction. Sexual satisfaction was a stronger predictor of subsequent relationship satisfaction for men than women. There were no significant partner effects. These results contribute to our theoretical understanding of sexuality and sexual satisfaction in the context of long-term relationships by providing support for theories that conceptualize sexual satisfaction as one factor that contributes to relationship satisfaction. (PsycINFO Database Record
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".