Introduction to NVivo 10 - Marie-Hélène Paré

Short Bio Marie-Hélène Paré is a lecturer in program evaluation in social work at the Open University of Catalonia, and an international consultant in qualitative data analysis. She was educated in Quebec, Beirut and Oxford. She is a registered social worker who worked and conducted research in violence against women and community participation in disaster mental health. She taught social work at St-Joseph University in Beirut, Lebanon, and has lectured on qualitative analysis in more than forty universities and research centres worldwide. Her methodological interests lie in qualitative analysis, qualitative evidence synthesis, indigenous epistemologies, and participatory methodologies. Since 2009, she teaches the introductory and advanced courses on qualitative data analysis at the ECPR Summer and Winter Schools. She is an expert trainer in NVivo software for qualitative analysis. Prerequisite knowledge This is an introductory course on NVivo with no prerequisite knowledge. Knowledge of qualitative research is necessary. This course uses NVivo 10 for Windows Participants should bring their own laptop with NVivo 10 for Windows installed to the course. The NVivo 30-day free trial for Windows can be downloaded here. Mac users If you are a Mac user, do not come to the course with NVivo for Mac installed on your Mac laptop. The NVivo for Mac is incomplete compared to the Windows version. To use NVivo 10 for Windows on your Mac, see the compatibility options here. It is your responsibility to ensure that NVivo 10 works well on your machine. No troubleshooting will be provided during or outside teaching hours. Short course outline This course is designed for participants who plan NVivo for the management, coding, analysis and visualisation of qualitative data. The course’s content is spread over four modules and includes: formatting text data and downloading internet data, setting up a project and organising data in NVivo; coding and analysing data; seeking patterns and identifying relationships, and presenting findings using graphic displays. The course is entirely hands-on and uses sample data to learn NVivo’s basics and advanced options. This course does not cover how to analyse qualitative data in NVivo based on specific methods such as thematic analysis, grounded theory, or content analysis. If you are looking for such course, see the outline of the course Advanced Qualitative Data Analysis of the next ECPR Winter School in Bamberg in February 2016.

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