Power calculations in single-case neuropsychology: A practical primer

Area of Science:

• Neuropsychology
• Cognitive Science
• Biostatistics

Background:

• Clinical neuropsychology frequently compares individual patients to healthy control groups.
• Statistical methods effectively control Type I errors in these comparisons.
• The statistical power of these case-control comparisons has received limited attention.

Purpose of the Study:

• To provide a practical overview of statistical power in case-control comparisons within neuropsychology.
• To elucidate the origins and limitations of power in these analyses.
• To guide researchers in optimizing and interpreting power for single-case studies.

Main Methods:

• The study describes the principles of statistical power in minimally technical terms.
• It focuses on power calculations for comparing individual cases to control samples.
• The primer offers practical tools and guidance for estimating and optimizing power.

Main Results:

• Statistical power is a crucial, yet often overlooked, aspect of case-control comparisons in neuropsychology.
• Power calculations can significantly aid in the design and interpretation of single-case studies.
• Understanding power limitations helps set realistic expectations for research findings.

Conclusions:

• Power calculations are essential for robust single-case study design and interpretation in neuropsychology.
• Researchers should actively consider and optimize statistical power in case-control comparisons.
• This primer aims to demystify power analysis and improve its practical application.