What do quasi-experiments have in common with "real" experiments and how do they differ?

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What do quasi-experiments have in common with "real" experiments and how do they differ?



Answer: Quasi-experiments are like experiments in two ways: in both cases, you have a labile measure providing the data and, in both cases, you have another variable that you think of as a potential cause of the data variable. (Note: in most cases, the SV in a quasi-experiment is qualitative, just like the IV in most experiments is often qualitative, but this need not be true in all situations, so I wouldn't really include it here.) Quasi-experiments differ from "real" experiments in that the researcher doesn't have complete control over the potential-cause variable.

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