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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 following diagnostic systems and rating scales are used in psychiatry and clinical psychology.This list is by no means exhaustive or complete. For instance, in the category of depression, there are over two dozen depression rating scales that have been developed in the past eighty years.
Edward Ross Ritvo, son of Max Ritvo [1] and Frances (née Davis) Ritvo, [2] was born in Boston on June 1, 1930. [3] As a young man he enjoyed rowing, skied on Harvard's ski team, and once climbed Mount Blanc. [4]
The Autism Diagnostic Observation Schedule (ADOS) is a standardized diagnostic test for assessing autism spectrum disorder.The protocol consists of a series of structured and semi-structured tasks that involve social interaction between the examiner and the person under assessment.
The ADI-R has also been tested thoroughly for reliability and validity using inter-rater reliability, test-retest reliability and internal validity tests. [1] The results of this research have led to the ADI's acceptance among both researchers and clinicians for decades.
Test validity is the extent to which a test (such as a chemical, physical, or scholastic test) accurately measures what it is supposed to measure.In the fields of psychological testing and educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests". [1]
A typical predictive validity for an employment test might obtain a correlation in the neighborhood of r = .35. Higher values are occasionally seen and lower values are very common. Nonetheless, the utility (that is the benefit obtained by making decisions using the test) provided by a test with a correlation of .35 can be quite substantial ...
One measure of goodness of fit is the coefficient of determination, often denoted, R 2. In ordinary least squares with an intercept, it ranges between 0 and 1. However, an R 2 close to 1 does not guarantee that the model fits the data well. For example, if the functional form of the model does not match the data, R 2 can be high despite a poor ...