Encyclopedia of Clinical Neuropsychology

2018 Edition
| Editors: Jeffrey S. Kreutzer, John DeLuca, Bruce Caplan

Pattern Analysis

  • Molly E. ZimmermanEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-57111-9_1231


Pattern analysis is an approach to neuropsychological test interpretation in which relationships among test scores are used to inform differential diagnosis.

Current Knowledge

In this approach, a broad range of neuropsychological tests are administered in order to adequately characterize an individual’s cognitive strengths and weaknesses. Performance discrepancies, sometimes characterized as “scatter,” are then identified both within a test and between tests. The pattern of test score variability is often of greater import than any single test score. Comparison of test scores is generally optimized through the use of a common metric or equivalent score, such as a standardized z-score (Russell 1997). The pattern analysis approach requires extensive knowledge of both psychometrics and the manner in which different neuropsychological tests may interact with one another (Lezak et al. 2012). Of particular importance are the relative reliabilities of the tests and the correlation...

This is a preview of subscription content, log in to check access.

References and Readings

  1. Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological assessment. Oxford: Oxford University Press.Google Scholar
  2. Russell, E. W. (1997). Developments in the psychometric foundations of neuropsychological assessment. In G. Goldstein & T. Incagnoli (Eds.), Contemporary approaches to neuropsychological assessment (pp. 15–66). New York: Springer.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of PsychologyFordham UniversityBronxUSA