Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Model comparison in ANOVA

Rouder, Jeffrey N., Engelhardt, Christopher R., McCabe, Simon and Morey, Richard D. ORCID: 2016. Model comparison in ANOVA. Psychonomic Bulletin & Review 23 (6) , pp. 1779-1786. 10.3758/s13423-016-1026-5

[thumbnail of Morey.model_comp.pdf]
PDF - Accepted Post-Print Version
Download (1MB) | Preview


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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Uncontrolled Keywords: ANOVA; Statistical models; Interactions; Model comparison; Order-restricted inference
Publisher: Springer
ISSN: 1069-9384
Date of First Compliant Deposit: 21 July 2017
Date of Acceptance: 27 August 2016
Last Modified: 04 Nov 2022 02:11

Citation Data

Cited 72 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics