Course info
SESS0006/SEES0107: Understanding and Analysing Data
The module introduces data analysis to students with some experience in
academic research, but little (or no) experience with quantitative methods.
The course is developed so as to best emphasise the methods that are most
relevant for social sciences and humanities students for whom traditional
courses in quantitative methods would be too technical or inappropriately
targeted. Students are first introduced to the methods/concepts that are
most similar to qualitative approaches (e.g., categorical data) in order to
make the learning curve less steep, as well as to highlight the usefulness
of quantitative data analysis in their field of research. Special emphasis
is put on interactions between qualitative and quantitative analysis and
analysing data in mixed methods research. The practical goal of the module
is to help students analyse data for their dissertations. As a result, the
focus will be on developing usable data-analysis skills, rather than
focusing on the more abstract mathematical principles underlying
statistical analysis. Finally, this module will not focus on collecting
data, but, rather, on understanding and analysing already-collected data
(as the module name suggests).
Course contacts
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