The Adaptation of Aps-SF on the Romanian Population
Bibliographic record
Abstract
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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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".