Factors Affecting Aggressiveness among Young Teenage Girls: A Structural Equation Modeling Approach
Bibliographic record
Abstract
Adolescence is a period of transition for developmental and social domains that may also be accompanied by behavioral problems. Aggressive behavior may be a mental health concern for young teens and is defined as a behavioral and emotional trait that may be distressing for others. This study aimed to understand the factors associated with aggressiveness among young teenage girls. A cross-sectional study was conducted among a sample of 707 female middle school-aged students using multistage random sampling in Tabriz, Iran. The variables of interest were aggressiveness, general health status, happiness, social acceptance, and feelings of loneliness. Structural equation modeling was employed to analyze the data. Low parental support, low satisfaction with body image, high sense of loneliness, and lower perceived social acceptance were found to be the factors influencing aggressiveness. The current study found that the school environment, home environment, individual and interpersonal factors all play a part in aggressiveness. As a result, the contributing elements must be considered when creating and executing successful interventions to improve this population's psychological well-being.
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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 | 0.002 | 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 | 0.000 | 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) | 0.000 | 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".