What is the best rationale for using a Factorial design? When two or more indepe

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What is the best rationale for using a Factorial design? When two or more independent variables are thought to interact with each other, meaning that different combinations of levels of the independent variables may have different effects on the outcome. When we need to reduce our Type I error rate. The increased complexity of the Factorial Design will reduce our Type I error rate, making it more likely that we will detect a true difference in our independent variables. when one wants to isolute co-variates and their different effects on the treatment. When one is only interested in interactions among levels of two or more independent variables.

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