QUALITATIVE ANALYSIS

The course is designed to introduce PhD students in Sociology to the basic techniques for collecting, interpreting, analyzing, and reporting interview and observational data. The readings and practical exercises we will do together are designed to expand your technical skillset, inspire your thinking, to show you the importance of working collaboratively with intellectual peers, and to give you experiential knowledge of various kinds of fieldwork.

Mostly, though, students will learn how to conduct indictive field-based analyses. There are many versions of this model, including Florian Znaniecki’s “analytic induction,” Barney Glaser and Anselm Straus’ “grounded theory,” John Stuart Mill’s system of inductive logic, the Bayesian approach to inference in statistics, and much of what computationally-intensive researchers refer to as data mining. This course will expose students to ways of thinking about their research shared by many of these different inductive perspectives. Remember, though, that all of these formulations of analytic work are ideal types. The actual field, and actual field workers, are often far more complex.

For that reason, this course focuses not merely on theory, but also, and fundamentally, on practice. While some skills like producing a code book or formulating a hypothesis can be developed through reading and reflection, the field demands more nuanced skillsets that can only be attained by trial and error. How do you get an honest answer to a painful or embarrassing question? How do we know that the researcher interviewed enough people? Or spent enough time in the field? Or asked the right questions? Or did not distort the truth? My hope is that by the end of class you will have done enough fieldwork to have arrived at a good set of answers, and to begin developing the ability to communicate your answers to others.

A note on intellectual parentage: The particular approach to training in this course is based on a qualitative bootcamp developed by Mario Small for Harvard’s Ph.d cohorts. Other methods courses focus on particular technical skills rather than analytic frames, or merely on empirical work itself, rather than secondary literature on method. This is one way to think through analytic training. We will try it out together.