The Italian Version of the State-Trait Cheerfulness Inventory Trait Form: Psychometric Validation and Evaluation of Measurement Invariance
Bibliographic record
Abstract
The State-Trait Cheerfulness Inventory–Trait Version (STCI-T60) measures the temperamental basis of sense of humor involving theoretically derived personality dispositions of cheerfulness, seriousness, and bad mood. The reliability and validity of the newly developed STCI-T60 Italian version were assessed in a sample of Italian speakers ( N = 683). Proper fit for a three-dimensional factor structure observed in previous studies was replicated and each factor demonstrated acceptable internal consistency and test–retest reliability. The associations between the STCI subscales and major personality dimensions, optimism, resilience, stress, and general well-being were further examined and results were in the expected directions (e.g., cheerfulness and bad mood being positively and negatively associated with well-being variables, respectively). Cross-cultural invariance examination was conducted to provide more validity data for the Italian STCI. Metric invariance was found between Italian and Canadian English speakers ( N = 632), but scalar invariance was not shown.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".