The scales for experiencing emotions: Establishing concurrent and cross-cultural validity
Bibliographic record
Abstract
This study provided evidence for the psychometric properties of the Scales for Experiencing Emotion (SEE) (Behr Becker, 2002), a 7-dimensional measure of fundamental facets of experiencing emotions. It is a brief self-report questionnaire developed on a German sample and based on Person-Centered theory of personality and therapeutic change. The purpose of this study was to establish the SEE's concurrent and cross-cultural validity with a Canadian sample. Results show that the SEE has good overall reliability and excellent validity. Findings also indicate that emotional experience is multidimensional and that the SEE encompasses key facets of emotional processing. Although some of the SEE's psychometric properties require further testing, it can be used with confidence for both clinical and research purposes, and with caution in different cultures. It is hoped that this instrument will be used in research, inform therapists of individuals' emotion processes, and contribute to the judicious application of interventions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".