The Effectiveness of a Cognitive-Behavioral Counseling Program in Modifying the Negative Behavior Among Students of Aqabat Jaber School Camp in the Governorate of Jericho
Bibliographic record
Abstract
The objective of this study is to investigate the effectiveness of a counseling program in modifying the negativebehavior of male students aged 11-15 years. The researcher used the semi-empirical approach with twomeasurements, pre and posttest measurements. A purposive sample of 52 students was selected and divided into twogroups, experimental and control groups. Each group comprised a number of 26 male students respectively. Theresearcher developed the behavioral modification and counseling program questionnaire.The study showed that there were statistically significant differences in reducing the level of negative behavior in theexperimental group attributed to the counseling program. The experimental group mean reached a score of 87.08 andthe control group’s mean was 227. The results also indicated that the experimental group has a statisticallysignificant difference for the minimum permissible level of negative behavior (110), where the mean for negativebehavior reached 87.08, a decrease of 22.92. The effect of the independent factor on the dependent factor wassignificant, given that the d-value was 2.07, which is greater than the value 0.8. The study recommended for thegroup counseling program to be employed and circulated due to its positive results in modifying behavior.
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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) | 0.000 | 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 | 0.000 |
| 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".