Critical Item Analysis Enhances the Classification Accuracy of the Logical Memory Recognition Trial as a Performance Validity Indicator

Alexa Dunn; Sadie Pyne; Brad Tyson; Robert Roth; Ayman Shahein; Laszlo Erdodi

doi:10.1080/87565641.2021.1956499

Critical Item Analysis Enhances the Classification Accuracy of the Logical Memory Recognition Trial as a Performance Validity Indicator

Dev Neuropsychol. 2021 Aug;46(5):327-346. doi: 10.1080/87565641.2021.1956499. Epub 2021 Sep 16.

Authors

Alexa Dunn¹, Sadie Pyne², Brad Tyson³, Robert Roth⁴, Ayman Shahein⁵, Laszlo Erdodi¹

Affiliations

¹ Department of Psychology, University of Windsor, Windsor, Canada.
² Windsor Neuropsychology, Windsor, Canada.
³ Neuroscience Institute, Evergreen Neuroscience Institute, EvergreenHealth Medical Center, Kirkland, USA.
⁴ Neuropsychology Services, Dartmouth-Hitchcock Medical Center, USA.
⁵ Department of Clinical Neurosciences, University of Calgary, Calgary, Canada.

PMID: 34525856
DOI: 10.1080/87565641.2021.1956499

Abstract

Objective: : Replicate previous research on Logical Memory Recognition (LM_Recog) and perform a critical item analysis.

Method: : Performance validity was psychometrically operationalized in a mixed clinical sample of 213 adults. Classification of the LM_Recog and nine critical items (CR-9) was computed.

Results: : LM_Recog ≤20 produced a good combination of sensitivity (.30-.35) and specificity (.89-.90). CR-9 ≥5 and ≥6 had comparable classification accuracy. CR-9 ≥5 increased sensitivity by 4% over LM_Recog ≤20; CR-9 ≥6 increased specificity by 6-8% over LM_Recog ≤20; CR-9 ≥7 increased specificity by 8-15%.

Conclusions: : Critical item analysis enhances the classification accuracy of the optimal LM_Recog cutoff (≤20).

MeSH terms

Adult
Humans
Neuropsychological Tests
Recognition, Psychology*
Reproducibility of Results
Sensitivity and Specificity