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What is a mixed factorial design?A design which has 2+ IVs. Both of which is between subjects.A design which has 2+ IVs. Both of which is within subjects.A design which has 2+ IVs. At least one of which is between subjects and one within subjects.A design which has 3+ IVs. At least one of which is between subjects and one within subjects.

Question

What is a mixed factorial design?A design which has 2+ IVs. Both of which is between subjects.A design which has 2+ IVs. Both of which is within subjects.A design which has 2+ IVs. At least one of which is between subjects and one within subjects.A design which has 3+ IVs. At least one of which is between subjects and one within subjects.

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Solution

A mixed factorial design is a type of experimental design that involves two or more independent variables (IVs), where at least one is a between-subjects variable and at least one is a within-subjects variable.

Here's a step-by-step breakdown:

  1. "2+ IVs" refers to the fact that there are at least two independent variables in the study. These could be anything that the researcher is manipulating to see if it has an effect on the dependent variable.

  2. "At least one of which is between subjects" means that at least one of these independent variables is being manipulated between different groups of participants. For example, one group might be exposed to one level of the variable, while a different group is exposed to a different level.

  3. "One within subjects" means that at least one of the independent variables is being manipulated within the same group of participants. This means that the same group of participants is exposed to all levels of this variable.

  4. "A design which has 3+ IVs" refers to a more complex version of a mixed factorial design, where there are three or more independent variables. Again, at least one of these is a between-subjects variable and at least one is a within-subjects variable.

In summary, a mixed factorial design is a versatile experimental design that allows researchers to examine the effects of multiple independent variables, both between and within groups of participants.

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