Self-Report Assessments of Emotional Competencies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This Special Issue of the Journal of Psychoeducational Assessment offers a critical appraisal of the validity, applied utility, and limitations of self-report assessments of emotional competencies. Using self-concept theory as an integrative theoretical framework, this introductory editorial highlights key methodological and validity issues raised in the contributing articles: (a) distinction between emotional competence self-perceptions and objectively measured abilities, (b) effects of response biases and respondents’ age on the psychometric properties of self-reports, (c) importance of adopting a multi-dimensional assessment strategy, and (d) various aspects of construct validity (conceptual definitions and paradigms, gender differences, relationships with basic personality, mechanisms and scope of prediction). The added value of conceptualizing emotional competence self-reports as self-concepts (as proposed in this article) is illustrated in the discussion of practical implications, outstanding questions, and directions for future research on the meaning and uses of these assessments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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