Psychometric Development of the Iceland-Expressive Family Functioning Questionnaire (ICE-EFFQ)
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
Instruments that are able to capture changes related to an intervention are of great value to the scientific as well as to the clinical community. The Iceland-Expressive Family Functioning Questionnaire (ICE-EFFQ) measures expressive emotions, collaboration, problem solving, communication, and behavior in families experiencing a chronic or an acute illness. The conceptual framework of the Calgary Family Assessment Model (Wright & Leahey, 2009) was used to construct the original questionnaire of 45 items and 10 subcategories. A total of 557 family members with a recent illness experience of a close relative answered the ICE-EFFQ in three different studies. Principal component factor analysis reduced the original questionnaire to 22 items with five factors emerging and a total Cronbach's alpha coefficient of α = 0.912 accounting for 60.3% of the total variability. Confirmatory factor analysis from two studies produced the final version of the questionnaire consisting of 17 items and four factors.
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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 | 0.002 | 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 | 0.001 |
| 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