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Mass univariate analysis of event‐related brain potentials/fields I: A critical tutorial review

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Groppe, David M., Urbach, Thomas P., Kutas, Marta·2011·Psychophysiology

Abstract

Event‐related potentials (ERPs) and magnetic fields (ERFs) are typically analyzed via ANOVAs on mean activity in a priori windows. Advances in computing power and statistics have produced an alternative, mass univariate analyses consisting of thousands of statistical tests and powerful corrections for multiple comparisons. Such analyses are most useful when one has little a priori knowledge of effect locations or latencies, and for delineating effect boundaries. Mass univariate analyses complement and, at times, obviate traditional analyses. Here we review this approach as applied to ERP/ERF data and four methods for multiple comparison correction: strong control of the familywise error rate (FWER) via permutation tests, weak control of FWER via cluster‐based permutation tests, false discovery rate control, and control of the generalized FWER. We end with recommendations for their use and introduce free MATLAB software for their implementation.

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Metadata

Authors
Groppe, D. M., Urbach, T. P., & Kutas, M.
Venue
Psychophysiology
Publisher
Wiley
Published
2011-09-06
Volume
48
Issue
12
Pages
1711-1725
ISSN
  • 0048-5772 (ISSN-L)
  • 1469-8986
OpenAlex
W1605458923
Cited by
1,169
References
5
FWCI
12.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mass univariate analysis of event‐related brain potentials/fields I: A critical tutorial review. https://app.cochat.ai/papers/10.1111/j.1469-8986.2011.01273.x
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Groppe, D. M., Urbach, T. P., & Kutas, M. (2011). Mass univariate analysis of event‐related brain potentials/fields I: A critical tutorial review. Psychophysiology. https://doi.org/10.1111/j.1469-8986.2011.01273.x

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