[Go to the course description] [Go to the course schedule]

General overview

Lectures

  1. Course outline, what is methodology, what are the core concepts by which to judge research? (session 1)
  2. A basic introduction to in-depth interviewing (qualitative, ideographic) and large-N analysis (quantitative, nomothetic) (session 5)
  3. A ‘grand tour’ of research methods and techniques beyond what we have learned so far. Which approaches can accomplish what, and how should we interpret their results? How can we represent / visualize data? (session 10)

Seminars

Sessions 2-4:     Writing a draft research proposal. Introductions to problem definition, data types, and data collection strategies.
Sessions 6-9:     Asking questions, designing survey and interview instruments, how to perform analyses on qualitative (ideographic) data, and on quantitative (large-N) data.
Sessions 9-12:   Rewriting and finalizing the research proposals; individual guidance.
Sessions 13-15: Executing student research projects; possibly guest lectures from methodological experts in the field.
Sessions 13-15: Writing a draft research proposal. Introductions to problem definition, data types, and data collection strategies.
Sessions 16-17: Presenting results in text or visually.

Lab session

Session 8:         A hands-on introduction to SPSS, descriptive statistics, correlation, and basic linear regression.