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The Cattell–Horn–Carroll theory factors that this test examines are based on 9 broad stratum abilities, although the test is able to produce 20 scores [4] only seven of these broad abilities are more commonly measured: comprehension-knowledge (Gc), fluid reasoning (Gf), short-term memory (Gsm), processing speed (Gs), auditory processing (Ga), visual-spatial ability (Gv), and long-term ...
The Modified Checklist for Autism in Toddlers (M-CHAT) is a psychological questionnaire that evaluates risk for autism spectrum disorder in children ages 16–30 months. The 20-question test is filled out by the parent, and a follow-up portion is available for children who are classified as medium- to high-risk for autism spectrum disorder.
The ATEC was created to measure the success of these preventative programs and measures change over time in children of various ages. High quality practice parameters have now been established to help guide the assessment and treatment of ASD. [9]
Test Of Word Efficiency (TOWRE) was first developed and published by Joseph K Torgesen, Richard Wagner and Carl Rashotte in 1999. [1] After its popularity and acclamation, [3] its second revision version was published in 2012 which is known as Test of Word Efficiency second edition (TOWRE - 2).
The Ritvo Autism & Asperger Diagnostic Scale (RAADS) is a psychological self-rating scale developed by Riva Ariella Ritvo (NPI UCLA and CSC Yale). An abridged and translated 14 question version was then developed at the Department of Clinical Neuroscience at the Karolinska Institute, to aid in the identification of patients who may have undiagnosed ASD.
The Child and Adolescent Symptom Inventory (CASI) is a behavioral rating checklist created by Kenneth Gadow and Joyce Sprafkin that evaluates a range of behaviors related to common emotional and behavioral disorders identified in the Diagnostic and Statistical Manual of Mental Disorders (DSM), including attention deficit hyperactivity disorder, oppositional defiant disorder, conduct disorder ...
The CBI-R is completed by a family member or close friend of the patient. The frequency of a behaviour over the previous month is rated on a scale of 0 to 4, where 0 = never; 1 = a few times per month; 2 = a few times per week; 3 = daily; 4 = constantly. Ratings are totalled for each domain to score the questionnaire.
[3] [4] 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.