In statistics, a mixed-design analysis of variance model (also known as a split-plot ANOVA) is used to test for differences between two or more independent groups whilst subjecting participants to repeated measures. Thus, in a mixed-design ANOVA model, one factor (a fixed effects factor) is a between-subjects variable and the other (a random effects factor) is a within-subjects variable. Thus, overall, the model is a type of mixed effect model.
A repeated measures design is used when multiple independent variables or measures exist in a data set, but all participants have been measured on each variable.
Read more about Mixed-design Analysis Of Variance: An Example, ANOVA Assumptions, Partitioning The Sums of Squares & The Logic of ANOVA, Analysis of Variance Table, Degrees of Freedom, Follow-up Tests, See Also
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