1.Think about the mixed design idea (at least one independent variable is independent while the other is correlated). Give me two benefits of this design (compared to a design that has only independently assigned independent variables or only correlated variables).
2.You now know we consider both main effects and interactions in factorial designs. I hope that it is apparent that we also have a hypothesis (and null hypothesis) for each main effect as well as the interaction. Think about a 2 X 2 design. For this Pause Problem, first describe any study (made up or a real one) that has a 2 X 2 design (just don’t use the one from your lab!), and then write out the three null hypotheses (one for Factor A, one for Factor B, and the interaction of Factors A and B!
The chief advantage of a mixed design idea is that it can detect interactions between different independent variables. When the effect of one independent variable is different for different levels of another independent variable, it cannot be detected by anexperiment design that measures them separately. Another benefit of the mixed design idea is that they are cost and time efficient. Such designs provide more information at similar or lower cost.
Please post the other questions separately as we are supposed to answer just one question or four sub parts of a question.
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