What characterizes a mixed factorial ANOVA?

A mixed factorial ANOVA is characterized by the inclusion of two or more independent variables, where at least one variable is a within-subjects (repeated measures) factor and at least one variable is a between-subjects factor. This allows researchers to examine the effects of multiple factors on a dependent variable, while also considering individual differences across time points or conditions.

In the context of the correct answer, the inclusion of different time points suggests that one of the independent variables is measured at various times, which is a key feature of mixed factorial designs. This design enables the analysis of complex interactions between the independent variables while accommodating for variability among subjects and conditions.

Understanding this concept is crucial for interpreting results and making conclusions about how different factors influence the outcome of the study, making mixed factorial ANOVA a valuable statistical tool in research settings.