Selecting the Best Items for a Short-Form of the Experiences in Close Relationships Questionnaire
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
Abstract. Five studies were conducted to develop a short form of the Experiences in Close Relationships (ECR) questionnaire with optimal psychometric properties. Study 1 involved Item Response Theory (IRT) analyses of the responses of 2,066 adults, resulting in a 12-item form of the ECR containing the most discriminating items. The psychometric properties of the ECR-12 were further demonstrated in two longitudinal studies of community samples of couples (Studies 2 and 3), in a sample of individuals in same-sex relationships (Study 4), and with couples seeking therapy (Study 5). The psychometric properties of the ECR-12 are as good as those of the original ECR and superior to those of an existing short form. The ECR-12 can confidently be used by researchers and mental health practitioners when a short measure of attachment anxiety and avoidance is required.
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 | 0.004 | 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 | 0.001 | 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