Effectiveness of the Group Play Therapy on the Insecure Attachment and Social Skills of Orphans in Ahvaz City
Bibliographic record
Abstract
This study aimed to determine the effectiveness of the group play therapy on the insecure attachment and social skills of orphans in Ahvaz city. Statistical population included all orphans in Ahvaz city, of whom 30 students were selected whose scores in insecure attachment and in social skills were one standard deviation higher and one standard deviation lower than the mean, respectively and they were randomly divided into two treatment (15 persons) and control (15 persons) groups. The research tools included Randolph Attachment Disorder Questionnaire (2000) (RADQ) and Social Skills Rating System (SSRS) questionnaire (Gresham and Elliot, 1990). This is an experimental study with pretest, posttest, and follow-up by the control group. Firstly, pretest was implemented for both groups, and then experimental intervention (play therapy) was carried out for the treatment group during 10 sessions. After the therapeutic program, the posttest and two months later follow-up were implemented. The results obtained using the statistical method of multivariate covariance analysis showed that group play therapy reduces the insecure attachment and increases the social skills at P < 0.001 during the stages of posttest and follow-up in the treatment group compared to the control group. Results also indicated that there is a significant difference between posttest and follow-up of the treatment and control group in terms of the components of social skills (collaboration, assertiveness, and self-control).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".