A Cross-National Validation of the Academic Expectations Stress Inventory With Chinese and Korean High School Students
Bibliographic record
Abstract
The current study provided evidence for the factor structure of the Academic Expectation Stress Inventory (AESI) in a sample of 213 Mainland Chinese and 184 South Korean high school students. We examined cross-national invariance of the AESI using multiple-group confirmatory factor analysis across two Asian cultural samples. Results suggested a unidimension rather than two-factor structure (self and teachers/parents) in both settings. Results also showed evidence of reliability, convergent validity (significant correlations with depression, emotional exhaustion, and cynicism), and divergent validity (nonsignificant correlations with amotivation and efficacy reduction). ANCOVA results indicated that perceived overall academic expectation stress was significantly higher among Mainland Chinese students than for their South Korean counterparts. Furthermore, there were no differences between males and females for the Korean adolescents while females reported higher expectation scores than males in the Chinese adolescent sample.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".