Psychometric properties of the School Kindness Scale in Hong Kong, mainland China, and the Philippines
Bibliographic record
Abstract
Abstract Studies have shown that the School Kindness Scale (SKS) has adequate psychometric properties in different societies such as Canada, Turkey, and the Philippines. However, there is scarce evidence on the psychometric validity of this scale across multiple societies and educational contexts. This study explores the cross‐national invariance of the SKS among high school students in the Philippines, Hong Kong, and mainland China. Results showed that the modified unidimensional model of school kindness with correlated error terms on item number 2 and 3 had the most optimal fit. There was evidence supporting partial invariance of the modified unidimensional model of school kindness across setting and year level, and full invariance across gender. Whereas school kindness also demonstrated positive correlations with perceived academic performance in Hong Kong and mainland China, this construct was linked to higher emotional and social engagement in math in all contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".