Examining the Effectiveness of Social Skills Training on Loneliness and Achievement Motivation among Nurses
Bibliographic record
Abstract
This study tries to examine the effectiveness of social skills training on feeling of loneliness and achievement motivation in nurses. The present research is an experimental study of pre-test and post-test design with a control group. The research instruments included the revised UCLA Loneliness Scale and the Achievement Motivation Test for adults. The sample size consisted of 40 nurses working in Imam Khomeini Hospital in the city of Ahwaz selected through multi-stage random sampling and assigned to two experimental and control groups. To this end, prior to teaching the social skills, both groups were pre-tested. Then, the experimental group received social skills training for 12 fifty-minute sessions but no training was provided to the control group. Upon the completion of the training course, both groups immediately took the post-tests. The results of one-way analysis of covariance (ANCOVA) and multivariate analysis of covariance (MANCOVA) showed that social skills training significantly increased achievement motivation and reduced feeling of loneliness in nurses.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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".