Perceived Social Acceptance and Peer Status Differentially Predict Adjustment in Youth With and Without ADHD
Bibliographic record
Abstract
OBJECTIVE: This study extends previous research and examined if the longitudinal relation between self-perceived social acceptance and changes in adjustment was moderated by peer status and ADHD diagnosis. METHOD: A sample of children with ADHD and a normative comparison group (age 8-13 years) were assessed at baseline and one-year follow-up. Self-perceived social acceptance, peer status, and three areas of adjustment (depression symptoms, aggression/conduct problems, and social skills) were measured. RESULTS: Moderation was found when predicting depression symptoms and aggression/conduct problems. Specifically, in children with ADHD only, higher perceived social acceptance protected against increases in depression symptoms for those with lower peer preference, but predicted greater aggression/conduct problems for those with higher peer preference. There was not evidence of significant moderation for predicting social skills; instead non-ADHD status, greater peer preference, and greater self-perceived social acceptance were each predictive of greater social skills. CONCLUSION: Results highlight the complex association between positive social self-perceptions and adjustment for children with ADHD and caution against a universal assumption that high self-perceptions are adaptive.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".