Effectiveness of Short-Term Solution-Focused Group Training on Sense of Psychological Coherence among Female Adolescents
Bibliographic record
Abstract
Background and aim: This study aims to investigate the effectiveness of short-term solution-focused group counseling on sense of psychological coherence. Method: This research is a pretest-posttest quasi-experimental study design with a nonequivalent control group and two-month follow-up. The research statistical population comprises all female adolescents in the first grade of secondary school who referred (were referred) to counseling offices in Mashhad Education District in 2015 due to behavioral and academic problems. The research sample consisted of 30 adolescents’ 15 years old girl using available sampling method and was randomly assigned into two experimental (15 individuals) and control (15 individuals) groups. For data collection, the revised form of Flensborg Sense of Coherence Scale (2006) was applied. Both groups took a pretest. Then, the therapeutic model (short-term solution-focused method) was implemented during 8 weekly sessions of 1.5 hours for the experimental group, but the control group received no training. At the end of 8 weeks, a posttest was taken from both groups and a two-month follow-up was conducted. To analyze the data, analysis of variance with repeated measures was used. Findings: The obtained results demonstrated that short-term solution-focused training could significantly increase the sense of coherence (P<0.05) among adolescents’ girl in both posttest and two-month follow-up. Conclusion: Short-term solution-focused training may promote sense of psychological coherence among female adolescent students.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".