The Security Scale as a measure of attachment: meta-analytic evidence of validity
Bibliographic record
Abstract
This meta-analysis evaluated the psychometric properties of the Security Scale (SS; k = 57 studies), a measure specifically designed to assess attachment in middle childhood, using several criteria: stability over time, associations with other attachment measures, relations with caregiver sensitivity, and associations with theoretically driven outcomes. The SS demonstrated moderate stability and meaningful associations with other attachment measures and caregiver sensitivity. Furthermore, the SS showed significant associations with developmental correlates of attachment: school adaptation, emotional and peer social competence, self-esteem, and behavioral problem. Some effect sizes varied as a function of socioeconomic status (SES; peer social competence and maladjustment) and publication status (emotional competence, peer social competence, and self-esteem). The association between the SS and our constructs of interest were, for the most part, independent of geographical location and child gender or age. Overall, findings suggest that the SS is a robust measure of attachment in middle childhood and early adolescence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.018 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".