Influences of Impulsivity and Psychological Flexibility on Empathic Abilities: A Quantitative Analysis
Bibliographic record
Abstract
This study aimed to elucidate the predictive roles of impulsivity and psychological flexibility on empathy. Understanding these relationships could inform interventions to enhance empathic abilities in various populations. Utilizing a cross-sectional design, we analyzed data from 350 participants. Descriptive statistics and multiple linear regression analyses were conducted using SPSS version 25 to examine how impulsivity and psychological flexibility relate to empathy. Our analysis demonstrated that psychological flexibility positively predicts empathy, whereas impulsivity shows a negative correlation. Specifically, the regression model accounted for 35% of the variance in empathy scores, highlighting significant predictive capacities of both impulsivity and psychological flexibility on empathy. The study concludes that empathy can be significantly influenced by levels of impulsivity and psychological flexibility. These findings suggest potential avenues for developing targeted interventions aimed at enhancing empathy through the modulation of these psychological constructs.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".