mixeddesign
Mixed design, in statistics and experimental research, refers to designs that combine within-subjects and between-subjects factors. In a mixed design, some factors are manipulated between subjects (levels differ across participants), while others are manipulated within subjects (the same participants experience multiple levels). A common example is a split-plot design, where one factor such as treatment is assigned to groups, and another factor such as time or condition is repeated within each participant.
Analysis of mixed designs typically uses a mixed-design analysis of variance (ANOVA), also known as a split-plot
Assumptions depend on the method: ANOVA assumes normality and sphericity or homogeneity of variance, while mixed-effects