Examining intraindividual variability in neuropsychological test performance: Implications for identifying cognitive impairment and tracers of invalidity.

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Authors: Mira Isabelle Leese, Maya A. Marder, John‐Christopher A. Finley, G. Whitman Kent, Hirangi K. Patel, Aubry Wood, Evan P. Fisher, Joseph M. Bianco, Brian M. Cerny, Matthew S. Phillips, Troy A. Webber, Ryan W. Schroeder
+1 more Jason R. Soble
Cited by: 1

Abstract

< .001, η² = 0.31) significantly differed across groups. Results showed that high levels of variability followed increasing severity of cognitive impairment (i.e., no neurocognitive disorder < mild neurocognitive disorder < major neurocognitive disorder); performance invalidity was also associated with high variability. Additional analyses highlighted CoV as a more robust indicator of prediction utility than individual standard deviation. Overall, findings suggest that use of IIV-d metrics, particularly CoV, differentiates level of cognitive impairment. Performance invalidity can also be identified in some cases, although differentiating invalid responding from major neurocognitive disorder is more challenging using IIV-d metrics alone. Ongoing research is warranted for better understanding the use of IIV-d in facilitating diagnostic clarification and determining whether this method provides incremental value beyond other methods. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Fields of Study & Subjects

Traumatic Brain Injury Research Dementia and Cognitive Impairment Research Spatial Neglect and Hemispheric Dysfunction

Publication details

Journal / source
Psychological Assessment
Publisher
American Psychological Association (APA)
Volume
38
Issue
6-7
Pages
474–486
Publication date
19 February 2026
Language
EN