Effectiveness of violence prevention program on aggressive behaviors among preschool children
Bibliographic record
Abstract
Early childhood aggression is one of the strongest predictors of violence later in life, the earlier the application of intervention of violence prevention, the more reducing its occurrence later in life. The aim of this study was to assess the effectiveness of violence prevention program on aggressive behaviors among preschool children. A quazi experimental design was used in this study. This study was conducted in Bader Kindergarten at Assiut city. Two classrooms from KG2 were chosen one for the interventional group and the other is control. The Revised Aggression Scale (RAS-K-2) was used to assess aggression in children included two subscales victim and perpetrator. The Second Step Violence Prevention Program™ third edition (2002) for Preschool Kindergarten curriculum designed to alleviate aggressive behaviors in the preschool children. Both interventional and control groups were matchable according to personal data before implementation of the program. A statistically significant difference was found between interventional and control groups with lower mean victim score in the posttest compared to pretest ( p = .005). While, no statistically significant difference was found between pre and post test in interventional and control groups ( p = .16 and 1.000, respectively). Second step violence prevention program, decreased victimization among interventional group. Perpetration had slightly decreased after implementation of the program with no statistically significant difference. Implementing enrichment programs for preschool children to prepare them socially for school world, thus increasing their chances of social success and decreasing aggression.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".