‘Coding, Analyzing, and Interpreting Qualitative Data’ BootCamp Eline Vanassche, PhD This workshop focuses on one of the most critical, yet complex and confusing phases in the qualitative research process, that is how to uncover meaning from the data collected. The nature of the process of analyzing and interpreting data frequently remains hidden in qualitative studies as researchers often state that findings ‘emerged’ from the data, suggesting an almost magical process. Indeed, researchers rarely open up (or even engage in) the complex set of processes that underlie data analysis and interpretation in qualitative research. This strongly hampers the validity and trustworthiness of qualitative studies. This workshop will display the range of analytic approaches qualitative researchers can choose from. We start by exploring six phases which researchers typically start from when beginning qualitative data analysis: characterizing, cutting, coding, categorizing, converting and creating (Savin-Baden & Howell Major, 2013). Then, we move to more advanced methods of analyzing and interpreting qualitative data to uncover meaning from the data. Through lecturing, hands-on exercises, and small-group discussion of examples of qualitative research, participants will be stimulated to critically reflect on qualitative data analysis and develop a deeper understanding of the range of analytic approaches to choose from depending on their specific research goals and questions. While the workshop focuses on approaches that tend to be best suited to analyze verbatim and textual data, many of them may be used with different kinds of data as well. Familiarity with qualitative data analysis is helpful but not necessary. Participants are encouraged to bring a completed interview, document, or set of field notes to analyze. We will supply qualitative data for researchers who did not collect data yet. References Savin-Baden, M., & Major, C. (2013). Qualitative research: The essential guide to theory and practice. London, UK: Routledge.