ABSTRACT
This chapter discusses three sections: analysing and interpreting the data; identifying criteria and standards of judgement; deciding what counts as evidence, as well as why and procedures for generating evidence from the data. Data and evidence are different things, though they are parts of the same realm of discourse; this is to do with evaluating and making judgements about quality. The process of selecting relevant bits of data to act as evidence is generally known as content analysis. Content analysis is often both quantitative and qualitative. Analysing and interpreting data is a core piece of building a solid evidence base in which to ground practitioner knowledge claims. Although it looks like a technical exercise, it is one of the central pillars of producing a high quality project. Denzin and Lincoln refer to triangulation like this: triangulation is less a tactic than a mode of inquiry.
