Detecting Unusual Score Patterns in the Context of Relevant Predictors | SpringerLink

From the brilliance of Dr. Joel Schneider.  Although statistically complicated, these procedures (and other similar beauties by Dr. Schneider) could easily be implemented in test "smart" scoring software. 

Detecting Unusual Score Patterns in the Context of Relevant Predictors | SpringerLink 
https://link.springer.com/article/10.1007/s40817-022-00137-x

Neuropsychological assessment requires integrating new information with what is already known about an examinee. In constructing a case conceptualization, it can be helpful to quantify how unusual a pattern of scores is in the context of other quantitative data. This tutorial explains how two powerful statistical and psychometric concepts, conditional distributions and the Mahalanobis distance, are especially useful when used together to identify unusual score patterns after controlling for other scores. Graphical illustrations, R code, and instructions for a free and user-friendly web app are provided.

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Kevin S. McGrew, PhD
Educational & School Psychologist
Director
Institute for Applied Psychometrics (IAP)
https://www.themindhub.com
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