Current tests and trends in single-case neuropsychology

Robert D. McIntosh, Joanna L. Brooks

Research output: Contribution to journalEditorialpeer-review

Abstract

In this issue of Cortex, Crawford, Garthwaite and Ryan publish Bayesian statistical tests that will enable researchers to take account of covariates when comparing single patients to control samples. In this article, we provide some context for this development, from an audit of the Cortex archives. We suggest that single-case research is alive and well, and more rigorous than ever, and that current practice has been shaped considerably by Crawford and colleagues' statistical refinements over the past 12 years. However, there is scope for further tightening and standardisation of statistical methods and reporting standards. The advantages offered by the new Bayesian tests should promote the even wider use of appropriate statistical methods, with benefits for the validity of individual studies, and for cross-comparability in the single-case literature. (C) 2011 Elsevier Srl. All rights reserved.

Original languageEnglish
Pages (from-to)1151-1159
Number of pages9
JournalCortex
Volume47
Issue number10
DOIs
Publication statusPublished - 2011

Keywords / Materials (for Non-textual outputs)

  • Bayesian
  • Covariates
  • Single-case
  • Statistics
  • Z-scores
  • MONTE-CARLO-SIMULATION
  • PARKINSONS-DISEASE
  • NO EVIDENCE
  • DEVELOPMENTAL DYSLEXIA
  • PHONOLOGICAL DYSLEXIA
  • SEMANTIC DEMENTIA
  • STATISTICAL POWER
  • SCORE DIFFERENCES
  • NORMATIVE SAMPLE
  • MIND DEFICITS

Fingerprint

Dive into the research topics of 'Current tests and trends in single-case neuropsychology'. Together they form a unique fingerprint.

Cite this