Assessing schema modes for eating disorders and their association with personality traits: validation of the English version of the short form of the schema modes inventory for eating disorders (EN-SMI-ED-SF)
Bibliographic record
Abstract
BACKGROUND: Schema Therapy is an integrative psychotherapy model with a growing evidence base in the successful treatment of eating disorders (ED). To specifically assess schema modes in ED, the Schema Mode Inventory for Eating Disorders - Short Form (SMI-ED-SF) was developed but its English adaptation is still lacking. OBJECTIVE: The aim of this study is to evaluate the psychometric properties of the English version of the SMI-ED-SF (EN-SMI-ED-SF) within a community sample and to explore its relationship with ED conditions and personality traits. METHOD: An observational design was used, recruiting participants from the general population and specialized clinics for ED treatment. A confirmatory factor analysis was performed to test its factorial structure. A multivariate analysis of variance was conducted to ascertain differences between ED conditions on the dimensions of the EN-SMI-ED-SF. Lastly, the relationship between schema modes and personality traits was explored. RESULTS: The EN-SMI-ED-SF demonstrated excellent fit indices, with robust validity and reliability for measurement of schema modes. Maladaptive schema modes were systematically higher in ED compared to non-ED individuals, and adaptive schema modes were lower in ED groups compared to non-ED individuals. Whereas maladaptive schema modes showed the strongest positive correlations with neuroticism, adaptive modes were strongly correlated with psychological flexibility. DISCUSSION: The EN-SMI-ED-SF demonstrated robust psychometric properties, indicating its validity and reliability for assessment of schema modes. The results provide strong evidence for the role of schema modes in ED pathology, and their association with key personality correlates and the protective function of psychological flexibility.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 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".