The mediation model of social status on the link between parental attachment, aggressive behavior, and psychological well‐being: Evidence from two studies in Vietnamese adolescents and young adults
Bibliographic record
Abstract
Abstract Little is known about how insecure attachment affects aggressive behavior and well‐being among Vietnamese youth. Using structural equation modeling, we investigate the mediating role of subjective social status (SSS) on the paths from insecure attachment to overt aggressive behavior (OAB) and psychological well‐being (PW) in a sample of 1753 Vietnamese adolescents (Mage = 16.136, SD = 0.784) and test whether the results will be replicated in another sample of 601 Vietnamese young adults (Mage = 19.93, SD = 1.35). Participants complete a survey comprising demographic information, attachment styles, SSS, OAB, and PW questionnaires. Our main findings include: (a) anxious attachment positively related to OAB in both samples, (b) anxious attachment was only negatively associated with adolescents' PW, (c) avoidant attachment was positively correlated to OAB in adolescents but negatively correlated in young adults, and (d) avoidant attachment was negatively related to PW in both samples. In addition, (e) in adolescents, the mediation role of SSS was significant in all paths, but (f) SSS only mediated the link from avoidant attachment to PW of young adults. The present study suggests that aggressive behavior might not be associated with social status or attachment in the same way in adolescents compared to young adult Vietnamese samples.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".