Volltext-Downloads (blau) und Frontdoor-Views (grau)

Principles of statistical analyses: old and new tools

  • This chapter provides an overview of old and new statistical tools to analyze electrophysiological data on language processing. We will first introduce the very basic tenets of experimental designs and their intimate links to statistical design. Based on this, we introduce the analysis of variance (ANOVA) approach which has been the classical statistical tool to analyze event-related potentials (ERPs) in language research. After discussing the merits and disadvantages of the approach, we focus on introducing mixed-effects regression models as a viable alternative to traditional ANOVA analyses. We close with an overview of future directions that mixed-effects modeling opens up for language researchers using ERPs or other electrophysiological measures.

Download full text files

  • Kretzschmar_Principles_of_statistical_analyses_2023.pdf
    eng

    (IDS-intern)

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Franziska KretzschmarORCiDGND, Phillip M. AldayORCiD
URN:urn:nbn:de:bsz:mh39-122627
ISBN:978-1-0716-3262-8
ISSN:0893-2336
Parent Title (English):Language electrified. Principles, methods, and future perspectives of investigation
Series (Serial Number):Neuromethods (202)
Publisher:Springer Nature
Place of publication:New York
Editor:Mirko Grimaldi, Elvira Brattico, Yury Shtyrov
Document Type:Part of a Book
Language:English
Year of first Publication:2023
Date of Publication (online):2023/11/03
Reviewstate:(Verlags)-Lektorat
Tag:ERPs; analysis of variance; electrophysiological data; experimental design; language processing; mixed-effects models
GND Keyword:Elektrophysiologie; Ereigniskorreliertes Potenzial; Neurolinguistik; Regressionsanalyse; Statistische Analyse; Varianzanalyse; Versuchsplanung
First Page:123
Last Page:160
Note:
Dieser Beitrag ist aus urheberrechtlichen Gründen online nicht frei zugänglich.
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:nein
Program areas:G1: Beschreibung und Erschließung Grammatischen Wissens
Licence (German):License LogoUrheberrechtlich geschützt