Synonyms
ANOVA, F-test
Definition
Analysis of variance (ANOVA) is a statistical test that identifies whether two or more group means are statistically different. ANOVA evaluates the null hypothesis that the means of each group are equal, and, by implication, that each group represents the same population. The alternative hypothesis is that at least one pair of group means is different, suggesting that these groups reflect different populations and that the independent variable (IV) has a significant effect on the dependent variable (DV). ANOVA uses a statistic referred to as F, which is defined as the ratio between the between-group (explained) variance and the within-group (unexplained) variance. A one-way ANOVA analyzes the difference between the means of multiple levels of one independent variable. A factorial ANOVA incorporates multiple independent variables (factors). For example, in a two-way ANOVA, the main effect of both IVs is examined. The interaction effect is also...
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Further Reading
Gueorguieva, R., & Krystal, J. H. (2004). Move over ANOVA: Progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry. Archives of General Psychiatry, 61, 310–317. https://doi.org/10.1001/archpsyc.61.3.310.
Iverson, G. R., & Norpoth, H. (1987). Analysis of variance. Newbury Park: Sage.
Watson, P. (2009). Review of analysis of variance and covariance: How to choose and construct models for the life sciences. Psychological Medicine, 39, 695–696.
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Page, M.J.L. (2018). Analysis of Variance. In: Kreutzer, J.S., DeLuca, J., Caplan, B. (eds) Encyclopedia of Clinical Neuropsychology. Springer, Cham. https://doi.org/10.1007/978-3-319-57111-9_1172
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