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The School Refusal Assessment Scale-Revised; Sexual Compulsivity Scale; Shapiro TS Severity Scale; Somatic Symptom Scale - 8; Spann–Fischer Codependency Scale; SSD-12; Stanford Sleepiness Scale; Stig-9; Structured Clinical Interview for DSM; Structured Inventory of Malingered Symptomatology; Swanson, Nolan and Pelham Teacher and Parent Rating ...
Such an approach is an essential tool in instrument validation. In two and three-parameter models, where the psychometric model is adjusted to fit the data, future administrations of the test must be checked for fit to the same model used in the initial validation in order to confirm the hypothesis that scores from each administration ...
Each clinical scale (except Alcohol Problems and Drug Problems) represents a particular trait, and each scale has sub-scales that represent more specific aspects of that trait. Somatic concerns (SOM) measures a respondent's physical concerns and complaints. Anxiety (ANX) measures a respondent's general feelings of tension, worry, and nervousness.
A personality test is a method of assessing human personality constructs.Most personality assessment instruments (despite being loosely referred to as "personality tests") are in fact introspective (i.e., subjective) self-report questionnaire (Q-data, in terms of LOTS data) measures or reports from life records (L-data) such as rating scales.
The Millon Clinical Multiaxial Inventory – Fourth Edition (MCMI-IV) is the most recent edition of the Millon Clinical Multiaxial Inventory.The MCMI is a psychological assessment tool intended to provide information on personality traits and psychopathology, including specific mental disorders outlined in the DSM-5.
The Dimensional Obsessive-Compulsive Scale (DOCS) is a 20-item self-report instrument that assesses the severity of Obsessive-Compulsive Disorder (OCD) symptoms along four empirically supported theme-based dimensions: (a) contamination, (b) responsibility for harm and mistakes, (c) incompleteness/symmetry, and (d) unacceptable (taboo) thoughts. [1]
Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.
The Global Appraisal of Individual Needs (GAIN) is a family of evidence-based instruments used to assist clinicians with diagnosis, placement, and treatment planning. The GAIN is used with both adolescents and adults in all kinds of treatment programs, including outpatient, intensive outpatient, partial hospitalization, methadone, short-term residential, long-term residential, therapeutic ...