Workshops and Instructors
Workshop 1: Different Qualitative Coding Approaches: Choosing Methods with Purpose (morning, 9-12)
This workshop focuses on different ways of coding qualitative data and the resulting implications for the analytic process. Analyzing qualitative data has been characterized as making sense of a spaghetti bowl of data (Langley, 1999), fitting oval pegs into round holes (Pratt, 2008), or a beautiful but messy process (O’Dwyer, 2007). Qualitative data analysis is not a ‘color by numbers’ activity with clear paths that can be replicated across a myriad of projects. Indeed, inexperienced scholars often voice their frustration at not being able to see the full detail of the analytic process in books or journal papers and connections to the resulting theoretical contributions. Hence, more revealing approaches to teaching inductive qualitative methods are needed.
One of the core strengths of qualitative research methods is the diversity of data and coding tools that can be accessed. Indeed, good qualitative research encourages researchers to engage in bricolage and adapt the methods to their respective research question, data, or context (e.g., Denzin & Lincoln, 1985; Glaser & Strauss, 1967; Yin, 2010). In this workshop, Tine will first set the stage by discussing different approaches to work with and code data (specifically grounded theory, thematic analysis, and content analysis), incorporating different epistemological traditions and their impact on coding processes. Together with the participants, we will then try out the different coding approaches on a qualitative data example. Participants will reflect on their own coding approach via an expert debrief, working through various ways to generate meaningful findings. In-so-doing, we will be able to illustrate various coding techniques and the impact of the difference between these techniques for the research process. The workshop will help novice and experienced researchers develop and expand their qualitative data analysis skills, facilitating the translation of large datasets into meaningful research findings.
Instructor biography: Tine Köhler is Associate Professor for International Management at the University of Melbourne, Australia. Her main research interests include cross-cultural management, cross-cultural communication and coordination, group processes, qualitative research methods, research design, meta-analysis, and regression. Her work has been published in Organizational Research Methods (ORM), Journal of International Business Studies, Journal of Management, Psychological Methods, Human Resource Management, Academy of Management Learning and Education (AMLE), and Small Group Research (SGR) (amongst others). Dr Köhler is Co-Editor-in Chief at ORM and previously held Associate Editor roles at ORM and AMLE. She serves on the editorial boards of SGR, Journal of Management Studies, AMLE, Research Methods in Strategy and Management, and Journal of Management Education.