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http://dbpedia.org/resource/Mixed-design_analysis_of_variance
http://dbpedia.org/ontology/abstract In statistics, a mixed-design analysis of 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-effects 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.pants have been measured on each variable.
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rdfs:comment In statistics, a mixed-design analysis of 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-effects model.he model is a type of mixed-effects model.
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