Qualitative Data Analysis: Methods and Procedures - Marie-Hélène Paré - Fully booked with waiting list

Are you planning to conduct expert interviews or focus groups for your data collection? Or perhaps collect policy papers, press articles, or Internet data from blogs, Facebook or Twitter? If you do, you will soon or later have to face the pile of data you collected and analyse it. Will you know how? The aim of this course is to provide students with strategic understanding and applied skills in the analysis of qualitative data - that is, data coming in textual, visual, or artefact form. At the end of the course, students will be able to plan, conduct, and critically assess the quality of qualitative analysis in their own and other people’s research. Key topics covered include developing an analytic plan in line with one’s research design, coding data meaningfully and reliably, seeking patterns using retrieval techniques, and communicating findings effectively. Lectures, lab exercises using NVivo, and daily assignments constitute the basis of learning. Students conducting qualitative research as part of their PhD / postdoc will particularly benefit from the course. Prerequisite knowledge Basic knowledge of qualitative research is required. No requirement of qualitative analysis or NVivo. Short Bio Marie-Hélène Paré is a lecturer in qualitative research methods at the Open University of Catalonia and an international consultant in qualitative analysis. She was educated in Quebec, Beirut and Oxford. She is a registered social worker having worked, and conducted research, in violence against women in cross-cultural context. Between 2001-2003, she taught social work at St-Joseph University in Beirut, Lebanon, as well as qualitative analysis to a number of departments at Oxford University from 2004-2008. Her methodological interests lie in qualitative analysis, qualitative meta-synthesis, qualitative data in mixed methods designs, and participatory methodologies. She provides methodological expertise in qualitative analysis to research teams in academia and the NGO sector.

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