Within-Person Test Score Distributions: How Typical Is “Normal”?

Alison S. Buchholz, Gila Z. Reckess, Victor A. Del Bene, S. Marc Testa, Jeffrey L. Crawford, David J. Schretlen

Research output: Contribution to journalArticlepeer-review

Abstract

We evaluated within-person variability across a cognitive test battery by analyzing the shape of the distribution of each individual’s scores within a battery of tests. We hypothesized that most healthy adults would produce test scores that are normally distributed around their own personal battery-wide, within-person (wp) mean. Using cross-sectional data from 327 neurologically healthy adults, we computed each person’s mean, standard deviation, skew, and kurtosis for 30 neuropsychological measures. Raw scores were converted to T-scores using three degrees of calibration: (a) none, (b) age, and (c) age, sex, race, education, and estimated premorbid IQ. Regardless of calibration, no participant showed abnormal within-person skew (wpskew) and only 10 (3.1%) to 16 (4.9%) showed wpkurtosis greater than 2. If replicated in other samples and measures, these findings could illuminate how healthy individuals are endowed with different cognitive abilities and provide the foundation for a new method of inference in clinical neuropsychology.

Original languageEnglish (US)
Pages (from-to)1089-1099
Number of pages11
JournalAssessment
Volume31
Issue number5
DOIs
StatePublished - Jul 2024

Keywords

  • cognitive test
  • intra-individual variability
  • kurtosis
  • neuropsychological
  • normal distribution
  • skew

ASJC Scopus subject areas

  • Clinical Psychology
  • Applied Psychology

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