Confirmatory Factor Analysis of Aurora-a Battery on Children
Bibliographic record
Abstract
The aim of this research is confirmatory factor analysis of Aurora-a Battery on Iranian children. Aurora-a Battery is a cognitive assessment according to Robert J. Sternberg’s theory of Successful Intelligence. 400 children 9-12 years old were selected through multi-steps sampling method and were tested with Aurora-a test. These children were from geographically diverse schools in Isfahan city, Iran. The factor analysis of data was performed through Amos software. Fit indices show that data fit with model. Moreover, the correlation between test total score and the analytical, creative and practical intelligences were 0.91, 0.94 and 0.84, respectively. Alpha for Aurora’s total score was equal to 0.92 as well. Aurora-a test can be an appropriate and valid instrument for identification gifted children aged 9-12 according to Sternberg’s theory of successful intelligence. This test allows many children to be identified as gifted which in turn provides the opportunity of further development of their potential.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".