Revisions to the Young Schema Questionnaire using Rasch analysis: the YSQ-R
Notice bibliographique
Résumé
The aim of this study was to refine the YSQ-L3 by identifying the most statistically and clinically appropriate items for each Early Maladaptive Schema (EMS) using Rasch analysis. A Rasch analysis was undertaken on a large sample (<i>N</i> = 838) that included a heterogeneous clinical sample (<i>N</i> = 574) and a smaller non-clinical group (<i>N</i> = 264). Overall, 116 out of 232 items showed misfit across a number of statistical indicators. After the removal of these items, the fit improved for all subscales and showed good (.74) to excellent (.86) reliability with the exception of Enmeshment (.57). In line with previous research, items originally measuring Punitiveness were found to better fit two separate subscales, Punitiveness (Self) and Punitiveness (Other). Similarly, items assessing Emotional Inhibition fit better as two different constructs; Emotional Constriction, reflecting an over-control related to shame/embarrassment of showing emotions, and Fear of Losing Control, related to anxiety of the consequences if emotions are not contained. This is the first study to apply a rigorous methodological process to item selection from the YSQ-L3. The findings of this study are significant given the wide use of this scale cross-culturally in both clinical and research settings and offer a possible alternative to the current short form. <b>KEY POINTS</b> <b>What is already known about this topic</b>: Early Maladaptive Schemas (EMS) are transdiagnostic constructs that arise from unmet needs in childhood and become self-perpetuating through destructive patterns of interacting with the self, others, and the world.The Young Schema Questionnaire (YSQ) is the primary assessment tool used to assess 18 EMS, usually as part of Schema Therapy which is designed to treat complex and chronic psychological disorders.Psychometric evaluations of the YSQ have primarily focussed on factor structure and assessing the higher-order schema domains and have consistently yielded mixed findings across all versions. Early Maladaptive Schemas (EMS) are transdiagnostic constructs that arise from unmet needs in childhood and become self-perpetuating through destructive patterns of interacting with the self, others, and the world. The Young Schema Questionnaire (YSQ) is the primary assessment tool used to assess 18 EMS, usually as part of Schema Therapy which is designed to treat complex and chronic psychological disorders. Psychometric evaluations of the YSQ have primarily focussed on factor structure and assessing the higher-order schema domains and have consistently yielded mixed findings across all versions. <b>What this topic adds</b>: This is the first study to assess the psychometric properties at an individual item level in the YSQ using Rasch Analysis.Overall, only 116 out of 232 items in the YSQ-L3 showed appropriate fit across a number of statistical indicators.In line with previous research, the Emotional Inhibition schema is better conceptualised as two separate constructs which were a Fear of Losing Control and Emotional Constriction. Similarly, Punitiveness (Self) and Punitiveness (Other) are distinct constructs derived from the original Punitiveness schema. This is the first study to assess the psychometric properties at an individual item level in the YSQ using Rasch Analysis. Overall, only 116 out of 232 items in the YSQ-L3 showed appropriate fit across a number of statistical indicators. In line with previous research, the Emotional Inhibition schema is better conceptualised as two separate constructs which were a Fear of Losing Control and Emotional Constriction. Similarly, Punitiveness (Self) and Punitiveness (Other) are distinct constructs derived from the original Punitiveness schema.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,240 | 0,108 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».