Journal article
Using multilevel models for the analysis of event-related potentials
International journal of psychophysiology, Vol.162, pp.145-156
04/01/2021
DOI: 10.1016/j.ijpsycho.2021.02.006
PMCID: 8050933
PMID: 33600841
Abstract
Multilevel modeling (MLM) is becoming increasingly accessible and popular in the analysis of event-related potentials (ERPs). In this article, we review the benefits of MLM for analyzing psychophysiological data, which often contains repeated observations within participants, and introduce some of the decision-making points in the analytic process, including how to set up the data set, specify the model, conduct hypothesis tests, and visualize the model estimates. We highlight how the use of MLM can extend the types of theoretical questions that can be answered using ERPs, including investigations of how ERPs vary meaningfully across trials within a testing session. We also address reporting practices and provide tools to calculate effect sizes and simulate power curves. Ultimately, we hope this review contributes to emerging best practices for the use of MLM with psychophysiological data.
Details
- Title: Subtitle
- Using multilevel models for the analysis of event-related potentials
- Creators
- Hannah I Volpert-Esmond - The University of Texas at El PasoElizabeth Page-Gould - University of TorontoBruce D Bartholow - University of Missouri
- Resource Type
- Journal article
- Publication Details
- International journal of psychophysiology, Vol.162, pp.145-156
- DOI
- 10.1016/j.ijpsycho.2021.02.006
- PMID
- 33600841
- PMCID
- 8050933
- NLM abbreviation
- Int J Psychophysiol
- ISSN
- 0167-8760
- eISSN
- 1872-7697
- Grant note
- R01 AA025451 / NIAAA NIH HHS F31 MD012751 / NIMHD NIH HHS
- Language
- English
- Date published
- 04/01/2021
- Academic Unit
- Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984446540102771
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