Abstract
A one-way ANOVA (analysis of variance) compares the means of two or more groups for one dependent variable. A one-way ANOVA is required when the study includes more than two groups. (In other words, a t-test cannot be used.) As with t-tests, there is one independent variable and one dependent variable. Interval dependent variables for nominal groups are required. The assumption of normal distribution is not required.
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Ross, A., Willson, V.L. (2017). One-Way Anova. In: Basic and Advanced Statistical Tests. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6351-086-8_5
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DOI: https://doi.org/10.1007/978-94-6351-086-8_5
Publisher Name: SensePublishers, Rotterdam
Online ISBN: 978-94-6351-086-8
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