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NOTE: The format of the above questions works best when the variable that gets into the statistics is a composite of several original measured variables. In some articles, what is more interesting is to start with a concept that has several related measures (each of which might be fairly simple) which are then analyzed to see which is "best," in which case you might want to discuss them as a group and treat the matter of choosing among them in d). I suggest you ask me if there is any doubt in your mind about which two variables would be good choices. I should note that in some articles, all of the variables are pretty straightforward. In this case, just pick any two of them. You will not be graded down because your article is less complicated. However, I do expect people with very uncomplicated variables to analyze them perfectly, while I might decide that a mistake in analyzing some complicated variable is not that bad. (If there are both simple and complicated variables in your article and you choose to talk about the simple ones, I will assume you do not understand operationalization, which is not in your best interests.)

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