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Mixed Model Analysis of Variance

The characteristics of the design and the variables in a research study determine the appropriate statistical analysis. A mixed model analysis of variance (or mixed model ANOVA) is the right data analytic approach for a study that contains (a) a continuous dependent variable, (b) two or more categorical independent variables, (c) at least one independent variable that varies between-units, and (d) at least one independent variable that varies within-units. “Units” refer to the unit of analysis, usually subjects. In other words, a mixed model ANOVA is used for studies in which independent units are “crossed with” at least one of the independent variables and are “nested under” at least one of the independent variables.

Mixed model ANOVAs are sometimes called split-plot ANOVAs, mixed factorial ANOVAs, and ...

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