Like all writers, scholars depend upon words used as precisely as possible. In contemporary academic English, “thesis” and “dissertation” are almost interchangeable, and in this book I’ll use them that way merely to provide some variety. A thesis can, of course, be a master’s thesis or an undergraduate thesis, but a dissertation is always written for a doctoral degree. The dictionary’s succinct definition of a dissertation omits any mention of a proposition to be defended, and length seems to be the dissertation’s principal characteristic. A thesis might be very brief indeed. Martin Luther came up with ninety-five of them, and crammed them all onto a document correctly sized for a church door. For modern-day academics, a dissertation is expected to contain a thesis, that is, this lengthy exposition of evidence and analysis is supposed to contain a core argument. It might be said that the thesis inhabits and animates the dissertation. Unfortunately, it sometimes seems, at least to publishers, that the thesis—the heart of the dissertation—has stopped ticking. Argument gone, all that is left is length.
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Even if you used a quantitative research design, but failed to employ a probability sampling technique, there are still many perfectly justifiable reasons why you could have made such a choice. For example, it may have been impossible (or near on impossible) to get a list of the population you were studying (., a list of all the 20,000 students at the single university you were interested in). Since probability sampling is only possible when we have such a list, the lack of such a list or inability to attain such a list is a perfectly justifiable reason for not using a probability sampling technique; even if such a technique is the ideal.