While starting to write up everything this week, I realized that the data I had for Spain's ethnic diversity didn't match up with the data I had for France's level of ethnic diversity. Basically the data I had for France was correct (people had put down their ethnicity on the French census that accounts for the entire population) but the data I had for Spain was only the ethnicities and/or nationalities of the immigrant population of Spain. I googled and went on databases and tried everything (even did the AU librarian chat) to see if the information was out there. Finally got a copy of the Spanish census questions. And they don't even ask for people to report on their ethnicity, only their nationality if they hold citizenship status in another nation or have dual citizenship. Which is not the entirety of the Spanish population. I was so frustrated and am now positive that that data does not actually exist unless it's classified, which wouldn't make much sense. So instead, I used data on the nationalities of all the different immigrants in Spain and got the same data set for France so I could actually compare their ethnic diversities which isn't really even ethnic diversity anymore, it's immigrant/nationality diversity. That would work, right?
In this blog the AU Global Scholars document their efforts in applying rigorous research methods to their projects in the field of international studies. The aim is to briefly present a challenge that they encountered AND the solution they came up with, such that their peers can respond and/or learn.
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