Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23123
Appears in Collections:Management, Work and Organisation Journal Articles
Peer Review Status: Refereed
Title: Model comparison in ANOVA (Forthcoming/Available Online)
Authors: Rouder, Jeffrey
Engelhardt, Christopher
McCabe, Simon
Morey, Richard
Contact Email: simon.mccabe@stir.ac.uk
Keywords: ANOVA
Statistical models
Interactions
Model comparison
Order-restricted inference
Issue Date: 11-Apr-2016
Publisher: Springer
Citation: Rouder J, Engelhardt C, McCabe S & Morey R Model comparison in ANOVA (Forthcoming/Available Online), Psychonomic Bulletin and Review.
Abstract: Analysis of variance (ANOVA), the workhorse analysis of experimental designs, consists of F-tests of main effects and interactions. Yet, testing, including traditional ANOVA, has been recently critiqued on a number of theoretical and practical grounds. In light of these critiques, model comparison and model selection serve as an attractive alternative. Model comparison differs from testing in that one can support a null or nested model vis-a-vis a more general alternative by penalizing more flexible models. We argue this ability to support more simple models allows for more nuanced theoretical conclusions than provided by traditional ANOVA F-tests. We provide a model comparison strategy and show how ANOVA models may be reparameterized to better address substantive questions in data analysis.
Type: Journal Article
URI: http://hdl.handle.net/1893/23123
DOI Link: http://dx.doi.org/10.3758/s13423-016-1026-5
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: University of Missouri - Columbia
University of Missouri - Columbia
Management Work and Organisation
Cardiff University

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