The Relationship between Social Desirability, Responsibility, Self-Efficacy and Communication Skills of Students
Bibliographic record
Abstract
The aim of this study is to determine the relationship between social desirability, self-efficacy, and responsibility and communication skills of high school students in Ahvaz city. The sample of this study has been consisted of 360 participants that have been selected by cluster sampling method. This research is a descriptive and correlational study. The tools that have been used in this research are: Social Desirability questionnaire of Crowne and Marlowe (1960), the responsibility questionnaire of Harrison (1999), general self-efficacy questionnaire of Scherer et al. (1982) and communication skills questionnaire of Harjy and Marshall (1986). The data has been analyzed by using the statistical methods of Pearson correlation and multiple regressions. The results have shown that there is a positive relationship between social desirability, self-efficacy, responsibility and communication skills of students. The results of multiple regression analysis have shown that social desirability and responsibility and self-efficacy are respectively the best predictors of communication skills.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".