Yeah, just finished my taxes! So now it’s time for my monthly linkspam.
Double-Dipping Datasets – Why is it wrong to use an old dataset in order to answer new questions? Answer: It’s not wrong, I do it all the time in my research. Oh, and social scientists do it too, as in the well-known study from 2004 showing that asexuals make up about 1% of the population–based on a survey from 1990. Nonetheless, there are some cases where it intuitively seems like using the same dataset twice sounds wrong. HJ Hornbeck digs into some of the reasons why.
Here’s another thought. Researchers have limited resources and can only collect so much data. Collecting a few large datasets and using those for many purposes is fine. But if you’re collecting lots of little sets of data, you shouldn’t be testing lots of hypotheses on each data set until you get a hit.
Trans 101: Put Down the Map – Heh, well this isn’t the kind of article that tries to explain trans issues in a simplified and accessible format. There’s a lot about epistemology, using the “map vs territory” metaphor. I will say that every social justice advocate should have a healthy amount of empiricism, and that’s why we encourage listening to people rather than just theorizing about them.