Communication as a Mediator Between Personal Characteristics – Five-Factor Personality Traits, Emotional Intelligence, Self-Disclosure – and Romantic Relationship Satisfaction
Bibliographic record
Abstract
The present study explored the relation between personal characteristics and romantic relationship satisfaction as mediated by communication. Couples in established heterosexual romantic relationships of at least 3 months (N = 96 couples) were recruited from an undergraduate population at a university through a Psychology Participant Pool System. It’s been hypothesized that there would be a relation between predicting variables — four of five-factor personality traits, emotional intelligence and self-disclosure — and relationship satisfaction as mediated by communication behaviours. Results indicate that for both genders, conscientiousness is related to one’s own relationship satisfaction which is mediated by communication. For females only, communication mediated the relation between emotional intelligence and her relationship satisfaction. For males and females, self-disclosure is related to both one’s own and one’s partner’s relationship satisfaction which is mediated by communication. Collectively, these results suggest that personal characteristics are related to communication which influences the relationship satisfaction of both members of a couple.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".