van Rijn, J., Vaci, N. orcid.org/0000-0002-8094-0902, Wurm, L.H. et al. (1 more author) (2020) Alternative quantitative methods in psycholinguistics : implications for theory and design. In: Pirrelli, V., Plag, I. and Dressler, W.U., (eds.) Word Knowledge and Word Usage: A Cross-disciplinary Guide to the Mental Lexicon. De Gruyter Mouton , pp. 83-126. ISBN 9783110517484
Abstract
We describe three different methods that are appropriate to analyze various types of psycholinguistic data. We discuss some of the strengths and weaknesses of each and their suitability according to characteristics of the data. Methods include analysis of variance (ANOVA), linear mixed-effects modeling (LME) and generalized additive mixed models (GAMM).
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | analysis of variance; ANOVA; linear mixed-effects modeling; LME; generalized additive modeling; GAM; model criticism; collinearity; autocorrelation; experimental design; time course data; mouse tracking |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Apr 2020 07:47 |
Last Modified: | 01 May 2020 02:58 |
Published Version: | https://www.degruyter.com/view/title/513142 |
Status: | Published |
Publisher: | De Gruyter Mouton |
Refereed: | Yes |
Identification Number: | 10.1515/9783110440577-003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160073 |