Anytime Dr. Joel Schneider drops an article that provides "smart" routines/software to help solve some of the persistent and complex problems in cognitive test interpretation, I make sure to pay attention. Progress is and can be made.
Detecting Unusual Score Patterns in the Context of Relevant Predictors | SpringerLink
https://link.springer.com/article/10.1007/s40817-022-00137-x
Abstract
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.
Detecting Unusual Score Patterns in the Context of Relevant Predictors | SpringerLink
https://link.springer.com/article/10.1007/s40817-022-00137-x
Abstract
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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Kevin S. McGrew, PhD
Educational & School Psychologist
Director
Institute for Applied Psychometrics (IAP)
https://www.themindhub.com
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