The Assessment of Emotional Intelligence: A Comparison of Performance-Based and Self-Report Methodologies
Why this work is in the frame
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Bibliographic record
Abstract
We assessed the patterns of convergent validity for the Mayer-Salovey-Caruso Emotional Intelligence Test (Mayer, Salovey, & Caruso, 2002), a performance-based measure of emotional intelligence (EI) that entails presenting problems thought to have correct responses, and a self-report measure of EI (Schutte et al., 1998). The relations between EI and demographic characteristics of a diverse community sample (N = 223) concurred with previous research. However, the performance-based and self-report scales were not related to one another. Only self-reported EI scores showed a consistent pattern of relations with self-reported coping styles and depressive affect, whereas the performance-based measure demonstrated stronger relations with age, education, and receiving psychotherapy. We discuss implications for the validity of these measures and their utility.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it