Global Self-Esteem and Self-Efficacy Correlates: Relation of Academic Achievement and Self-Esteem among Emirati Students
Bibliographic record
Abstract
We investigated the relationships between global self-esteem, academic self-efficacy and academic performance among a sample of 255 college students in the United Arab Emirates. The widely used Rosenberg’s Self-Esteem Scale (RSES; Rosenberg, 1965) and an academic self-efficacy scale, modified from (Jinks and Morgan, 1999) were used to assess student’s self-esteem and their academic self-efficacy. Each student’s average grade for the mid-semester and final semester was used as the performance measure. Confirmatory factor analyses using Analysis of Moment Structures (AMOS) version 18 performed on the scores of the RSES revealed two factors (positive and negative self-esteem) as hypothesized. Correlated results indicated significant relationships between global self-esteem and academic self-efficacy. Also academic achievement was associated with having high academic self-efficacy.
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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 | 0.001 | 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 | 0.001 |
| 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".