A note on assessing the stability of eigenvectors (principal components) derived from ERP data

C. V. Dolan, W. Wijker, Peter Molenaar

Research output: Contribution to journalArticle

Abstract

Principal component analysis may be applied to psychophysiological data as a data reduction and modelling technique. Prior to interpreting parameter estimates thus obtained, it is important to gain some insight into their stability. Such information can be acquired by means of a simple method based on a perturbation technique. This method uses the standard output of statistical programs for carrying out PCA and requires very little computation. No assumptions are necessary regarding the distribution of the ERP data or the type of dispersion matrix. An example is given using ERP data.

Original languageEnglish (US)
Pages (from-to)65-70
Number of pages6
JournalJournal of Psychophysiology
Volume6
Issue number1
StatePublished - 1992

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Passive Cutaneous Anaphylaxis
Principal Component Analysis

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)
  • Neuropsychology and Physiological Psychology

Cite this

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abstract = "Principal component analysis may be applied to psychophysiological data as a data reduction and modelling technique. Prior to interpreting parameter estimates thus obtained, it is important to gain some insight into their stability. Such information can be acquired by means of a simple method based on a perturbation technique. This method uses the standard output of statistical programs for carrying out PCA and requires very little computation. No assumptions are necessary regarding the distribution of the ERP data or the type of dispersion matrix. An example is given using ERP data.",
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A note on assessing the stability of eigenvectors (principal components) derived from ERP data. / Dolan, C. V.; Wijker, W.; Molenaar, Peter.

In: Journal of Psychophysiology, Vol. 6, No. 1, 1992, p. 65-70.

Research output: Contribution to journalArticle

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