ABSTRACT

This chapter introduces some of the approaches, techniques, and methodologies that they might employ in efforts to analyze and make sense of this material. It should be noted that qualitative inspired approaches in coaching research are presently playing catch up with other social-based research. P. Markula and M. Silk have divided these camps into three broad groups: post-positivism, and the anti-positivist approaches, interpretive and postmodern/poststructuralist. Analysis of any data can be a frustrating and time-consuming process and rarely conforms to patterns or a pre-existing ideal. Data analysis is the process of systematically searching and arranging the interview transcripts, field notes and other material that accumulate to increase people's own understanding of them and enable one to present what they have discovered to other. Analysis involves working with data, organizing them, breaking them into manageable units, synthesizing them, searching for patterns, discovering what is important and what is to be learned, and deciding what they will tell others.