Indirect aggression, anxiety, and empathy: Disaggregating between and within person longitudinal associations during childhood and adolescence
Bibliographic record
Abstract
Abstract Although indirectly aggressive behavior and anxiety symptoms can co-occur, it is unclear whether anxiety is an antecedent or outcome of indirect aggression at the individual level and whether other personality traits can contribute to these longitudinal associations. Therefore, the between- and within-person associations among indirect aggression, anxiety symptoms, and empathic concern were examined across adolescence from ages 11 to 16 in a cohort of individuals followed annually ( N = 700; 52.9% girls; 76.0% White) controlling for direct aggression and demographic variables. Results of autoregressive latent trajectory models with structured residuals supported an acting out model at the within-person level. Specifically, anxiety symptoms positively predicted indirect aggression and indirect aggression negatively predicted empathic concern at each adjacent time point. These findings suggest that methods of reducing worries about the self and increasing healthy self-confidence could prevent indirect aggression and help build concern and compassion toward others.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".