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The course opens with notions of qualitative research designs and their application in a NVivo project. Details of the four modules is presented below. The course content is spread over four modules and includes to set up a project and organise data, work with multimedia, manage a literature review, autocode and code data inductively, generate hypotheses, seek patterns and discover relationships, and present qualitative findings. The objective of this course is to provide participants with knowledge and skills to use the basic and advanced features of NVivo in their own research. NVivo supports a range of inductive and deductive methods to qualitative analysis such as thematic and content analysis, within and cross-case analysis, discourse, conversational and narrative analysis, grounded theory, analytical induction, and qualitative research synthesis. It is a powerful platform that supports text, multimedia, pictures, PDFs, open-ended surveys from Excel and Survey Monkey, reference libraries, webpages, social media data from Facebook, Twitter, LinkedIn, and YouTube, notes from Evernote and OneNote, and emails from Outlook. NVivo is software programme for qualitative data analysis.
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Please see the full course outline, including diagrams and demos here If you are looking for such course, see the outline of the course Advanced Qualitative Data Analysis at the ECPR Winter School in Bamberg in February 2017.
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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. The course is entirely hands-on and uses sample data to learn NVivo’s basic and advanced functionalities. The course content is spread over four modules and includes to set up a project and organise data, manage a literature review, code and analyse data, and present qualitative findings using graphic displays.
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This course is designed for participants who plan to use NVivo for the management, coding, analysis and visualisation of qualitative data. You can find more on installation instructions in the section Software and Hardware below. You must ensure that NVivo works well on your machine regardless of the OS as no technical assistance will be provided at the Winter School.
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You can run NVivo 11 Pro for Windows on a Mac using Apple Boot Camp or Parallels if, and only, your Mac meets the system requirements here.
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This course is unsuitable for NVivo 11 for Mac as this version is incomplete compared to Windows. You can download the 14-day free trial here. This is a bring-your-laptop course for NVivo 11 Pro for Windows. Her methodological interests range from advances in qualitative data analysis, qualitative evidence synthesis, postcolonial epistemology and participatory methodologies. Since 2009, she has taught the introductory and advanced courses in qualitative data analysis at the ECPR Methods School and teaches similar courses at the IPSA-NUS Summer School and for the Methods Excellence Network. Marie-Hélène is a sought-after methodologist who has taught qualitative data analysis in more than sixty universities and research centres worldwide, in countries including Qatar and Iran. She is an NVivo Certified Platinum Trainer and is part of the NVivo Academy training team for the NVivo online courses.
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Her clinical work led her to research the harm that INGOs can do in the name of doing good when imposing Western paradigms in culturally and politically different contexts. A clinician by training, she worked as a mental health officer in humanitarian missions for MSF, MDM and UNWRA in psychosocial aid programs for survivors of war trauma in East Africa and the Middle East. She was educated in Quebec, Beirut and Oxford where she read social work. Marie-Hélène teaches qualitative research methods at the Open University of Catalonia (UOC) and is a freelance methodologist in qualitative data analysis.
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