Relationship quality among dating adolescents: Development and validation of the Relationship Quality Inventory for Adolescents
Bibliographic record
Abstract
Relationship quality has implications for individuals’ and couples’ wellbeing, such as higher couple functioning and perceived quality of life. In adolescence, low relationship quality has been associated with poor mental health and relational outcomes. However, given the lack of instruments to assess satisfaction in dating relationships, most studies have relied on measures of marital satisfaction. The current study aimed to address this gap by elaborating and validating the Relationship Quality Inventory for Adolescents (RQI-A). Exploratory and confirmatory factor analyses were conducted among two samples of French-speaking dating adolescents (n1 = 310; n2 = 335). The two-factor structure (Connectedness and Commitment) was cross-validated, and dimensions showed high internal consistency coefficients (ω = 0.86–0.89). Results also provide evidence of convergent validity of the scale with related measures. The RQI-A may help study predictors and correlates of dating relationship quality.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".