The Effectiveness of Sandplay Therapy to Improve Students’ Self-Esteem: A Preliminary Study in Brunei Darul Salam
Bibliographic record
Abstract
Purpose: This research was conducted to identify the effectiveness of sandplay therapy to improve students’ self-esteem among students. Methods: The sample was 16 students for experimental group, who received sandplay therapy, in comparison to the 16 students from control group who did not receive any treatment intervention. The instrument used in this research was Self-Esteem Inventory developed by Coopersmith. Data were analyzed using SPSS version 22 using Manova Repeated Measure Method, pre-test and post-test instruments. Results: The results from multivariate Pillai’s Trace test shows the main effect of the sandplay therapy from the post-test is significant F (5, 11) = 41.372, p<.05. The univariate shows that there is significant difference of the sandplay therapy to the general self-esteem F (1, 15) = 49.853 α<.05, social self-esteem F (1, 15) = 63.646 α<.05, parental self-esteem F (1, 15) = 82.924 α<.05 and academic self-esteem F (1, 15) = 80.071 α<.05. Conclusions: Sandplay therapy can be used in school to help students improve their self-esteem. Given this, one of the issues relating to adolescents is low self-esteem. Therefore, by applying sandplay therapy can minimize the issue surrounding low self-esteem among adolescents particularly in Brunei Darussalam However, since limited study on the usage of this kind of therapy, it is suggested that further study on the applicability of this therapy should be conducted.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".