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

doi:10.1080/00031305.1997.10474402

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

Psychiatry

SUNY Downstate Health Sciences University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

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 language	English
Pages (from-to)	301-304
Number of pages	4
Journal	American Statistician
Volume	51
Issue number	4
DOIs	https://doi.org/10.1080/00031305.1997.10474402
State	Published - Nov 1997

Keywords

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

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10.1080/00031305.1997.10474402

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title = "A graphical technique for displaying correlation matrices",

abstract = "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.",

keywords = "Electroencephalography (EEG), Eventrelated brain potential (ERP), Fisher z transformation, Larntz-Perlman procedure, P300",

author = "Koziol, \{James A.\} and Alexander, \{Joel E.\} and Bauers, \{Lance O.\} and Samuel Kuperman and Sandra Morzorati and O{\textquoteright}connor, \{Sean J.\} and John Rohrbaugh and Bernice Porjesz and Henri Begleiter and John Polich",

year = "1997",

month = nov,

doi = "10.1080/00031305.1997.10474402",

language = "English",

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journal = "American Statistician",

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T1 - A graphical technique for displaying correlation matrices

AU - Koziol, James A.

AU - Alexander, Joel E.

AU - Bauers, Lance O.

AU - Kuperman, Samuel

AU - Morzorati, Sandra

AU - O’connor, Sean J.

AU - Rohrbaugh, John

AU - Porjesz, Bernice

AU - Begleiter, Henri

AU - Polich, John

PY - 1997/11

Y1 - 1997/11

N2 - 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.

AB - 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.

KW - Electroencephalography (EEG)

KW - Eventrelated brain potential (ERP)

KW - Fisher z transformation

KW - Larntz-Perlman procedure

KW - P300

UR - https://www.scopus.com/pages/publications/0031504538

U2 - 10.1080/00031305.1997.10474402

DO - 10.1080/00031305.1997.10474402

M3 - Article

SN - 0003-1305

VL - 51

SP - 301

EP - 304

JO - American Statistician

JF - American Statistician

IS - 4

ER -

A graphical technique for displaying correlation matrices

Abstract

Keywords

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