I am interested in learning of examples of researchers using quantitative techniques such as cluster analysis to guide purposive/analytical sampling (non-random case/respondent selection). If you know of any examples, I would appreciate you posting a reference here. Please forgive my addition of this question to a few other relevant groups. Since Methodspace is relatively new, I’m not sure of the best place to ask yet.
i’m a little bit unsure of what you’re referring to here.. cluster analysis is not a sampling technique, is the general term for a collection of (mostly computer-intensive) algorithms to find groups within data… so are you interested in ways to group data points? ways to handle non-random sampling to get accurate estimates?
i dunno, i find your post a little bit confusing…
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