Moral disengagement among children and youth: A meta‐analytic review of links to aggressive behavior
Bibliographic record
Abstract
A growing body of research has demonstrated consistent links between Bandura's theory of moral disengagement and aggressive behavior in adults. The present meta-analysis was conducted to summarize the existing literature on the relation between moral disengagement and different types of aggressive behavior among school-age children and adolescents. Twenty-seven independent samples with a total of 17,776 participants (aged 8-18 years) were included in the meta-analysis. Results indicated a positive overall effect (r = .28, 95% CI [.23, .32]), supporting the hypothesis that moral disengagement is a significant correlate of aggressive behavior among children and youth. Analyses of a priori moderators revealed that effect sizes were larger for adolescents as compared to children, for studies that used a revised version of the original Bandura scale, and for studies with shared method variance. Effect sizes did not vary as a function of type of aggressive behavior, gender, or publication status. Results are discussed within the extant literature on moral disengagement and future directions are proposed.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.011 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".