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Enregistrement W4386179076 · doi:10.22259/2638-5201.0301004

Rogers's RS und SC Malingering Scales Derived from the SIMS

2020· article· en· W4386179076 sur OpenAlex

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Notice bibliographique

RevueArchives of Psychiatry and Behavioral Sciences · 2020
Typearticle
Langueen
DomaineComputer Science
ThématiqueAdversarial Robustness in Machine Learning
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésMalingeringPsychologyClinical psychology

Résumé

récupéré en direct d'OpenAlex

Background: Recent studies have shown conclusively that the Structured Inventory of Malingered Symptomatology (SIMS) lacks in content validity and criterion validity.Rogers, Robinson, and Gillard (2014) used an innovative statistical procedure to extract those SIMS items that could still usefully differentiate legitimate psychiatric patients instructed to respond honestly from those instructed to exaggerate symptoms.Their procedure resulted in their Rare Symptoms (RS) scale and Symptom Combination (SC) scale.The present study applied the RS and SC scales to patients injured in high impact motor vehicle accidents (MVAs) and also critically evaluates the content of these scales.Method: An ANOVA was calculated to compare RS and SC data of 3 groups: (1) 23 survivors of high impact MVAs, (2) data collected by Rogers's team on their 54 psychiatric patients instructed to respond honestly, and (3) data collected by Rogers's team on their 53 psychiatric patients instructed to exaggerate symptoms. Results and Discussion:All except four of the 23 post-MVA patients, i.e., 82.6%, obtained scores below Rogers's cutoff of > 6, i.e., at a "non-malingering" level, on the RS scale and all except one of the 23, i.e., 95.7% scored below Rogers's cutoff of > 6, i.e., at a "non-malingering" level, on the SC scale.Damaging evidence against the RS scale comes from the ANOVA: the RS scores of post-MVA patients did not differ significantly from psychiatric patients instructed to exaggerate: both groups scored significantly higher than psychiatric patients responding honestly.The SC scores of post-MVA patients did not differ significantly in the ANOVA from psychiatric patients responding honestly: both groups scored significantly lower than psychiatric patients instructed to exaggerate.Clinical content analysis of RS scale suggests irremediable flaws.A third of the RS items are logical or algebraic reasoning tasks on which patients with severe post-concussive symptoms and fatigue from insomnia (such as caused by persistent pain) could perform less well.Patients with extensive microvascular injuries and axonal shearing from their accident are more likely to score higher on the RS and be misclassified as "malingerers" than less injured persons.Another third of RS scale items lists delusional symptoms or those of thought disorder: psychotic patients are more likely to be branded as "malingerers" and deprived of pharmacotherapy.The SC scale is based on a precarious assumption that correlations among its symptoms remain the same across varied groups of genuine medical patients, regardless of the type and intensity of their own symptoms.Patients more severely disabled by their symptoms might be less consistent in their responses and thus more often misclassified as "malingerers" by the SC.Furthermore, Rogers's psychiatric sample on which the RS and SC scales were developed was diagnostically mixed, too heterogeneous, mainly diagnosed with PTSD (>77%) and/or mood disorders (>32%): this makes generalizations of RS and SC cutoffs to other diagnostic groups of psychiatric patients uncertain.Generalizations to yet other medical patients would need to be tested carefully, separately for each diagnostic group and on larger samples to satisfy APA requirements.Conclusions: Too many items of the RS represent common rather than "Rare Symptoms."For many reasons, non-SIMS items would be a better choice for future RS scales.With respect to developing future SC scales, more extensive research would be needed to demonstrate if, or when, specific pairs of symptoms are indeed always mutually exclusive or uncorrelated.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,154
Score d'incertitude au seuil0,396

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,036
Tête enseignante GPT0,311
Écart entre enseignants0,275 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle