ABSTRACT
All data is eventually analysed so the findings can be presented to the world. This involves a process of data reduction and data synthesis as it makes no sense to state ‘here are my 120 participants and their 250 data points’ and much more sense to classify and categorise this data in some way. For quantitative data, analysis involves statistics. For qualitative data, analysis involves the search for patterns, themes, or categories. Both involve the search for a story. This is not a data analysis book but critical thinking involves some understanding of data analysis. This chapter will therefore describe what data analysis can be done for both quantitative and qualitative approaches and how to make sense of the findings.
