Journal article
A Graphical Technique for Displaying Correlation Matrices
The American statistician, Vol.51(4), pp.301-304
11/01/1997
DOI: 10.1080/00031305.1997.10474402
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.
Details
- Title: Subtitle
- A Graphical Technique for Displaying Correlation Matrices
- Creators
- James A. Koziol - Scripps Research InstituteJoel E. Alexander - Western Oregon UniversityLance O. Bauer - University of Connecticut Health CenterSamuel Kuperman - University of IowaSandra Morzorati - Washington University in St. LouisSean J. O'connor - Washington University in St. LouisJohn Rohrbaugh - Department of Psychiatry , Institute of Psychiatric Research , Indianapolis , IN , 46202 , USABernice Porjesz - SUNY Downstate Medical CenterHenri Begleiter - SUNY Downstate Medical CenterJohn Polich - Scripps Research Institute
- Resource Type
- Journal article
- Publication Details
- The American statistician, Vol.51(4), pp.301-304
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/00031305.1997.10474402
- ISSN
- 0003-1305
- eISSN
- 1537-2731
- Language
- English
- Date published
- 11/01/1997
- Academic Unit
- Psychiatry
- Record Identifier
- 9984293757202771
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