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Multiple comparison methods: establishing guidelines for their valid application in neuropsychological research

D V Cicchetti1

  • 1Department of Veterans Affairs, Medical Center, West Haven, CT 06516.

Journal of Clinical and Experimental Neuropsychology
|February 1, 1994
PubMed
Summary

Clinical neuropsychologists need clear guidelines for using multiple comparison methods in research. This guide helps researchers choose the best statistical tests for parametric and nonparametric data, including post hoc analyses.

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Area of Science:

  • Neuropsychology
  • Statistics

Background:

  • Clinical neuropsychologists frequently encounter complex data requiring statistical analysis.
  • Choosing appropriate statistical methods, particularly for multiple comparisons, is crucial for valid research findings.

Purpose of the Study:

  • To provide a rationale for clinical neuropsychologists on when multiple comparison methods are necessary.
  • To offer guidelines for selecting specific multiple comparison techniques over others.

Main Methods:

  • Discussion of multiple comparison methods for both parametric and nonparametric statistical approaches.
  • Consideration of post hoc tests following significant main effects and interactions.

Main Results:

  • Provides criteria for determining the necessity of multiple comparison methods.

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  • Outlines guidelines for differentiating between competing multiple comparison techniques.

    • Conclusions:

    • Equips clinical neuropsychologists with the knowledge to appropriately apply multiple comparison methods.
    • Enhances the rigor and validity of statistical analyses in clinical neuropsychology research.