Development and Psychometric Properties of the Greek Personality Adjective Checklist (GPAC)
Why this work is in the frame
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Bibliographic record
Abstract
This study presents the development and the psychometric properties of the Greek Personality Adjective Checklist (GPAC), a new instrument assessing personality in the Greek population. The GPAC is based on the lexical hypothesis tradition and its theoretical framework was derived from the emic study of the Greek personality lexicon ( Saucier, Georgiades, Tsaousis, & Goldberg, 2005 ). It consists of 94 adjectives measuring six concrete dimensions: Even Temper, Introversion/Melancholia, Prowess/Heroism, Agreeableness/Positive Affect, Conscientiousness, and Negative Valence/Honesty. Results from exploratory and confirmatory factor analyses provided support for a six-factor solution for the structure of Greek personality. Additional results provided empirical evidence for the reliability of the GPAC. The Cronbach’s α coefficients for the six scales ranged between .85 and .95. The test-retest correlation coefficients ranged between .71 and .85. Finally, preliminary results provided evidence of construct validity based on convergence correlations with other personality measures such as the Traits Personality Questionnaire 5 (TPQue5), the Big Five Inventory (BFI), and the 50 Big Five Factor Markers (50 BFFM), as well as other criterion personality measures such as the Eysenck Personality Questionnaire (EPQ). It is concluded that the GPAC is a reliable and valid measure, useful for the assessment of normal personality in the Greek population.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it