A Comparison of Alternative Analytic Models for Event Related Potential Records.

Abstract

Principal Component Analysis is a technique that is widely used to extract component wave forms from event related potential (ERP) records. Analysis of simulated ERP records indicate that Principal Component Analysis may produce biased solutions in some cases. Two alternative methods of analysis are considered; confirmatory factor analysis and time series analysis. Confirmatory factor analysis provides superior results if the experimenter has reason to reject some component wave forms on a priori grounds. Time series analysis is preferable in situations in which the analysis can be conducted on only a few records. The ERP is a record of the electrical activity detected in the brain following the presentation of a stimulus.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1984
Accession Number
ADA151977

Entities

People

  • E. Hunt
  • P. Tianwattanatata

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Data Sets
  • Electrophysiological Phenomena
  • Factor Analysis
  • Scientific Research
  • Time Series Analysis
  • Waveforms

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Regression Analysis.