Putting the Alzheimer's cognitive test to the test I: traditional psychometric methods

Jeremy Hobart, Stefan Cano, Holly Posner, Ola Selnes, Yaakov Stern, Ronald Thomas, John Zajicek, Alzheimer’s Disease Neuroimaging Initiative

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)

Abstract

BACKGROUND: The Alzheimer's Disease Assessment Scale-Cognitive Behavior section (ADAS-Cog) is the most commonly used cognitive test in AD clinical trials. However, there are concerns about its use in early-stage disease. Herein we examine those concerns using traditional psychometric methods.

METHODS: We analyzed ADAS-Cog data (n = 675) based on six psychometric properties: data completeness; scaling assumptions; targeting; reliability; validity; and responsiveness.

RESULTS: At the scale-level, criteria tested for data completeness, scaling assumptions (item total correlations 0.33-0.59), targeting (no floor/ceiling effects), reliability (Cronbach's α = 0.74), and validity (correlation with MMSE = -0.70) were satisfied. Responsiveness (baseline to 12 months; n = 145) was moderate to high (effect size = -0.73). However, 8 of 11 ADAS-Cog components had substantial ceiling effects (range 32%-83%), and decreased responsiveness associated with low to moderate effect sizes (0.14-0.65).

CONCLUSION: In our study, many patients with AD found large portions of the ADAS-Cog too easy. Future research should consider modifying the ADAS-Cog or developing a new test.

Original languageEnglish
Pages (from-to)S4-9
JournalAlzheimer's and Dementia
Volume9
Issue number1 Suppl
DOIs
Publication statusPublished - Feb 2013

Keywords

  • Alzheimer Disease
  • Humans
  • Neuropsychological Tests
  • Psychometrics
  • Reproducibility of Results

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