The Long-Term Effects of Posttraumatic Growth on Coping: The Roles of Self-Efficacy and Ruminative Thought
Bibliographic record
Abstract
Research shows that traumatic events occur frequently within the general population. Posttraumatic growth (PTG), defined as personal and interpersonal improvements following the experience of traumatic events, has been the focus of positive psychologists for more than a decade. Few studies have asked how experiencing growth post-trauma relates to coping with later life stressors. The current study tested this relation and aimed to discover whether self-efficacy and rumination acted as mediators within a path model. Undergraduate students completed surveys regarding reactions to past traumatic events and coping strategies used for current stressors. The hypothesized model was found to be an adequate fit for the data. PTG predicted task-focused coping related to current stressors as well as recent rumination about a past traumatic event. Self-efficacy also positively predicted task coping, but was negatively impacted by rumination. The present findings will guide future research on recovery from trauma and practical outcomes of growth.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".