Peer attachment in adolescence: What are the individual and relational associated factors?
Bibliographic record
Abstract
Abstract The quality of peer attachment in adolescence is an important determinant of psychosocial adjustment. To date, few clear conclusions can be drawn about the most important factors associated with the quality of peer attachment. This study aimed to identify the most important individual and relational factors associated with peer attachment quality, and to establish their relative contribution. Early adolescents (N = 634, 45.7% girls), 11.29 years on average at the first measurement time, participated in the longitudinal study. Individual and relational factors were measured at T1; parent and peer attachment quality were measured at T2, 2 years later. First, a multiple linear regression analysis was performed using the global score for peer attachment as the outcome variable. Second, a path model, including the three specific attachment dimensions (trust, communication, and alienation), was tested. The invariance of the models by sex was also examined. The analyses showed that peer attachment was associated positively with the adolescent–parent attachment relationship, the adolescent's age, as well as the teacher–student relationship, and associated negatively with the presence of internalizing behavior problems and social rejection. These variables helped explain 21.3% of the total variance. Give or take a few nuances, these same variables were also related to the three specific peer attachment dimensions. Sex differences were observed for the associated factors of these specific dimensions. This study highlights the importance of certain relational variables, in both family and school contexts, as correlates of peer attachment.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".