The Adaptation of Aps-SF on the Romanian Population
Notice bibliographique
Résumé
ABSTRACTThis study presents an overview of the adaptation process of the Adolescent Psychopathology Scale - Short Form, on the Romanian population. The psychometric properties were measured for both a and a non-clinical sample of adolescents, aged between 12 and 19. The results of the statistical analysis revealed that APS-SF is a reliable and valid instrument of the mental health status of the Romanian children, being in accordance with the original version of APS-SF. APS-SF is a useful tool for psychiatric and academic problems faced by adolescents. It can be used for assessment, intervention and follow-up of the treatment, but it can prove to be helpful for research purposes as well.KEYWORDS: adolescents, mental health, assessment, psychopathologyINTRODUCTIONThe prior research and the epidemiologic studies performed over the last decade in USA, Canada and other countries show that a significant percent of teenagers suffer from some sort of major disorder (Reynolds, 2000). Overall, it is believed that the prevalence of mental health disorders in this population varies between 7- 15%. In most cases, these disorders remain untreated, as they never get to be diagnosed by mental care specialists. Evaluating the presence and severity of the psychopathology in youngsters is, therefore, a activity of major importance. For many teenagers, a low or moderate of psychopathology may predict the further development of more severe problems. Even children with a mild disorder or with sub-clinical symptoms may face significant problems with their adaptability and daily functioning (Reynolds, 2000).The Adolescent Psychopathology Scale - Short Form (APS-SF) was designed to evaluate the psychopathology, the personality traits, and the psychosocial problems of adolescents, aged between 12 and 19 years. The 115 APS-SF items are extracted from the Adolescent Psychopathology Scale (APS; Reynolds, 1998, as cited in Reynolds, 2000), an instrument of 346 items, which evaluates the psychopathological of teenagers. The APS-SF items provide a direct screening of the specific symptoms of the and personality disorders, included in the Diagnostic and Statistical Manual of Mental Disorders, 4th Ed. (DSM-IV, The American Psychiatry Association, 1994), but also of other problems and behaviours that interfere with a good psycho-social of adaptation and personal skills (Reynolds, 2000).APS-SF includes 12 subscales and 2 validity subscales. Six subscales focus on the DSM-IV symptomatology. They have been elaborated to reflect the main symptoms presented in the DSM-IV, which are associated with the following disorders: conduct disorder (CND), oppositional defiant disorder (ODD), major depressive disorder (MDD), generalized anxiety disorder (GAD), posttraumatic stress disorder (PTSD) and substance abuse (SUB). The other six subscales, though not specifically associated with the DSM-IV disorders or symptoms, screen relevant aspects related to various psycho-social problems of teenagers. These subscales include: eating disorder (EAT), suicide (SUI), academic problems (AP), anger/violence proneness (AVP), self-concept (SC) and interpersonal problems (IP). The two validity subscales focus on defensiveness (DEF) and the consistency response (CR) and examine the validity of the answers.Although it is not considered to be a formal classification system, there is, however, beside DSM-IV, another approach regarding the presentation of the behavioural disorders and problems, resumed in the notion of clinical level and acknowledged by means of a Cutoffscore (Cutoffpoint) that is obtained at a psychometric test. From this perspective, the severity of the disorder is screened using the answers given to the items that evaluate the characteristics (i.e., the symptoms) of that disorder. This information is then analysed by the specialists in order to determine the significance of the stated problems (Reynolds, 2000). …
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».