SOCB05H3 Lecture Notes - Lecture 10: Open-Source Software, Nomothetic
Document Summary
In common, both types of data analysis (qual and quan) are looking to reach conclusions from empirical data. In both, we"re trying to infer from empirical research in order to reach conclusions. Also, by using data that"s been collected either by ourselves or a couple of institutions in order to analyze or work on analysis techniques. Both methods are used for small and large amounts of data. Both techniques are looking at comparisons (qual comparison between interviews, field notes and quan comparing different types of data numerically). The differences between these two are the types and numbers of techniques (more techniques for quan than qual), different starting points (quan starts from numbers and qual starts from a text ie. picture, article, transcript, etc. Interested in what the meanings are of the things we"re observing and what patterns we see in that meaning.
