I’ve had conversations in recent months with a few colleagues outside the discipline about debates within sociology over the work of ethnographers like Alice Goffman, Matt Desmond, and Sudhir Venkatesh. It is enlightening to hear how outsiders see the disagreements and this has pushed me to consider more fully how I would explain the issues at hand. What follows is my one paragraph response to what is at stake:
In the end, what separates the work of sociologists from perceptive non-academics or journalists? (An aside: many of my favorite journalists often operate like pop sociologists as they try to explain and not just describe social phenomena.) To me, it comes down to data and methods. This is why I enjoy teaching both our Statistics course and our Social Research course: undergraduates rarely come into them excited but they are foundational to who sociologists are. What we want to do is have data that is (1) scientific – reliable and valid – and (2) generalizable – allowing us to see patterns across individuals and cases or settings. I don’t think it is a surprise that the three sociologists under fire above wrote ethnographies where it is perhaps more difficult to fit the method under a scientific rubric. (I do think it can be done but it doesn’t always appear that way to outsiders or even some sociologists.) Sociology is unique in both its methodological pluralism – we do everything from ethnography to historical analysis to statistical models to lab or natural experiments to mass surveys – and we aim to find causal explanations for phenomena rather than just describe what is happening. Ultimately, if you can’t trust a sociologist’s data, why bother considering their conclusions or why would you prioritize their explanations over that of an astute person on the street?
Caveats: I know no data is perfect and sociologists are not in the business of “proving” things but rather we look for patterns. There is also plenty of disagreement within sociology about these issues. In a perfect world, we would have researchers using different methods to examine the same phenomena and develop a more holistic approach. I also don’t mean to exclude the role of theory in my description above; data has to be interpreted. But, if you don’t have good data to start with, the theories are abstractions.