On Why Collet's Doubts Egarding the PCA are Misplaced
Document Type
Article
Publication Date
1989
Digital Object Identifier (DOI)
https://doi.org/10.1016/0301-0511(89)90100-2
Abstract
Collet's (1989) doubts regarding the efficacy of principal component analysis (PCA) as a tool in the study of event-related brain potentials (ERPs) are unpersuasive. The substantive point reported by Collet is that data points are autocorrelated over the time period during which a single, PCA-defined, ERP component predominates. Such autocorrelation has long been recognized by investigators in the field, and its confirmation by autoregressive modeling does not provide useful information about issues central to ERP data analysis. Furthermore, because he fails to take a full count of the number of parameters used in his autoregressive model his argument from parsimony is flawed. In any event, Collet's argument misperceives the heuristic mode in which PCA is used in actual studies.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Biological Psychology, v. 28, issue 2, p. 181-186.
Scholar Commons Citation
Donchin, Emanuel, "On Why Collet's Doubts Egarding the PCA are Misplaced" (1989). Psychology Faculty Publications. 298.
https://digitalcommons.usf.edu/psy_facpub/298
