Moderator or mediating effect of perceived social support between alexithymia and negative psychology of nurses
Bibliographic record
Abstract
Objective To explore the regulative or mediating effect of perceived social support on the relationship between alexithymia and negative psychology of nurses. Methods A total of 503 nurses were surveyed by Toronto Alexithymia Scale-20(TAS-20), Perceived Social Support Scale(PSSS) and Genera Health Questionnaire-20 (GHQ-20). Results The scores of alexithymia, perceived social support and negative psychology of nurses were(54.82±8.43), (61.9±9.78)and (3.70±2.61), respectively.Alexithymia was significant positive correlated with negative psychology(r=0.49, P 0.05.The model fit indexes of perceived social support′s partial mediating effect on the relationship between alexithymia and negative psychology were χ2/df=1.645, RMSEA=0.036, CFI=0.995, IFI=0.995, RFI=0.960, TLI=0.984, NFI=0.987, GFI=0.993, AGFI=0.973.The model was proved well. Conclusion Perceived social support partially mediates the relationship between alexithymia and negative psychology, instand of regulating it. Key words: Alexithymia; Negative psychology; Perceived social support; Mediating effect
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".