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taway_1212 | 7 years ago

> In social science research there is often a tradeoff between measurement quality and sampling quality. Do you want to measure your variables really well in a small sample, or measure them crudely in a large sample.

Wouldn't it be honest to just accept the fact that both methods don't provide data that's relevant and trustworthy enough for the research at hand? It sound irresponsible to draw conclusions (that will be picked up by newspapers and eventually policy makers) based on data that does not merit them, only because no beter data is available.

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