A graphical technique for displaying correlation matrices

James A. Koziol, Joel E. Alexander, Lance O. Bauers, Samuel Kuperman, Sandra Morzorati, Sean J. O’connor, John Rohrbaugh, Bernice Porjesz, Henri Begleiter, John Polich

Research output: Contribution to journalArticle

4 Scopus citations


A recent multilaboratory study to investigate phenotypic and genotypic markers for alcoholism is described. A preliminary investigation of the reliability of electroencephalographic data amassed at six laboratories was undertaken; data from each laboratory could be usefully summarized with sample correlation matrices. A graphical method for depicting these correlation matrices is presented. The Larntz-Perlman procedure for assessing the equality of correlation matrices can immediately be incorporated into this graphical technique. The experimental data from the preliminary investigation are illustrated with the graphical method, which readily conveys large amounts of correlational information and reveals meaningful patterns in the electroencephalographic responses.

Original languageEnglish (US)
Pages (from-to)301-304
Number of pages4
JournalAmerican Statistician
Issue number4
StatePublished - Nov 1997


  • Electroencephalography (EEG)
  • Eventrelated brain potential (ERP)
  • Fisher z transformation
  • Larntz-Perlman procedure
  • P300

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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    Koziol, J. A., Alexander, J. E., Bauers, L. O., Kuperman, S., Morzorati, S., O’connor, S. J., Rohrbaugh, J., Porjesz, B., Begleiter, H., & Polich, J. (1997). A graphical technique for displaying correlation matrices. American Statistician, 51(4), 301-304. https://doi.org/10.1080/00031305.1997.10474402