Examining within-person and between-person associations of family violence and peer deviance on bullying perpetration among middle school students.
Bibliographic record
Abstract
Objective: Family violence and peer deviance have shown to be related to bullying perpetration. Although there are several cross-sectional investigations of these two factors in relation to bullying behavior, no known studies have examined their interactive associations. The current study examines the longitudinal associations of both factors on bullying perpetration using a multi-level approach. Method: grade students from four middle schools in a Midwest county. We examined the main and interactive relations between how individual reports of family violence and peer deviance fluctuated over time (i.e., within-person effects) and how average reported differences between individuals (i.e., between-person effects) were associated with levels of bullying perpetration. Results: Positive main effects were found for both family violence and peer deviance on levels of bullying perpetration. Within-person effects indicated that, on average, fluctuations from one's 'typical' levels in family violence and peer deviance were associated with contemporaneous increases in bullying perpetration. A statistically significant time-variant interaction revealed that within-person family violence significantly exacerbated the relationship between within-person peer deviance and bullying perpetration. Furthermore, a statistically significant cross-level interaction revealed that the association between within-person peer deviance and bullying perpetration was stronger for individuals with higher average levels of between-person family violence (+1SD) compared to lower levels (-1SD). Implications: These findings provide a more nuanced lens from which to view the co-occurring relations between family and peer ecologies. Prevention and intervention efforts should target peer relations to reduce the effect of family violence on bullying behavior.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".