Resilience and Empathy as Predictors of Psychological Wellbeing among Adolescents
Bibliographic record
Abstract
The purpose of this study was to examine predictors of psychological wellbeing among adolescents. A sample of 150 adolescents (13-15 years) was administered Psychological well-being scale (Ryff, & Keyes, 1995), Conner-Davidson resilience scale (Campbell-Sills & Stein, 2007) and Toronto empathy questionnaire (Spreng, McKinnon, Mar & Levine, 2009) to examine the impact of resilience and empathy on psychological well-being. Correlational analysis, t-test and multiple regression analysis were applied. Resilience and empathy were found to be positively related to psychological well-being. Resilience and empathy were retained as predictors among girls while resilience came out to be the sole predictor of psychological well-being among boys. Girls were found to be more empathetic and resilient than boys. No gender differences were found on 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 | 0.005 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".