Thanks to Dick Willems for his assistence in this project, Marijtje Jongsma for the use of the data of the first application, Inge Keus for her assistence in the collection of the data of the second application, and Chan Wai Yen for proofreading the manuscript.
Randomization tests for ERP topographies and whole spatiotemporal data matrices
Article first published online: 1 DEC 2003
Volume 41, Issue 1, pages 142–151, January 2004
How to Cite
Maris, E. (2004), Randomization tests for ERP topographies and whole spatiotemporal data matrices. Psychophysiology, 41: 142–151. doi: 10.1111/j.1469-8986.2003.00139.x
- Issue published online: 1 DEC 2003
- Article first published online: 1 DEC 2003
- (Received March 15, 2002; Accepted June 30, 2003)
- Randomization tests;
- Family-wise error rate;
- Electrophysiological data;
- Spatiotemporal data
In ERP studies, the comparison of topographies (multichannel measurements) or whole spatiotemporal data matrices (multichannel time series of measurements), the classical statistical tests very often cannot be used. It is argued that, for these comparisons, randomization tests are an excellent alternative. It is also argued that the randomization test is superior to another resampling method, the bootstrap, because exact probability statements (e.g., p values) can be made. A review is given of the literature on randomization tests designed for electrophysiological data. New randomization tests are presented and applied to two data sets, one coming from a psychopharmacological experiment and the other from an ERP experiment in visual word recognition.