Steve Tippins explains two experimental design approaches: full factorial, which changes all variables at once, and one-factor-at-a-time, which tests one variable in isolation. Your choice between them depends on what your dissertation actually needs to answer.
Now, when we talk about the design of experiments, some people talk about full factorial versus one factor at a time. Ultimately, quite simply, what this means is full factorial— I'm going to change everything all at once, and I keep randomly changing things. What's the outcome going to be? One at a time factors means I'm going to just change one factor, and then I'm going to see what happens. And the design is the you're going to choose of these is going to be based upon the research questions that you have. Drop the word "help" in the comments below, and I'll send you the link to my free dissertation help community.
