Module 1 concludes with lexical queries which search for frequency, occurrence, and context of keywords in textual data. We create externals that link an NVivo project to outside information, and memos where the analytic process is recorded. I explain how you can work directly on pictures or generate a log to associate comments with specific picture regions.
I will explain how to work with still images.
We turn our attention to the transcribing possibilities of NVivo, starting with transcribing media recordings in full or working only with sound and video sequences. We learn the key features that support a literature review so sources can be annotated and cross-referenced to highlight a line of arguments and connections across sources. We then move in NVivo and import and organise a range of qualitative data. I open with notions of qualitative research designs and their application in a NVivo project. We review how data can be organised in comparative and non-comparative designs, coding approaches developed, and types of analyses conducted. seek patterns and discover relationships.The content is spread over four modules and will teach you how to: This course aims to give you the knowledge and skills to use the basic and advanced features of NVivo in your own research. NVivo supports a range of inductive and deductive methods to qualitative analysis such as: 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. Attend at least 90% of course hours, participate fully in in-class activities, and carry out the necessary reading and/or other work prior to, and after, class. for ECTS Creditsġ credit (pass/fail grade). Her methodological interests range from advances in qualitative data analysis to qualitative systematic reviews, postcolonial epistemology and participatory methodologies.
Since 2009, she has taught the introductory and advanced courses in qualitative data analysis at this Methods School, and she teaches similar courses the IPSA-NUS Summer School in Singapore. Marie-Hélène is a sought-after methodologist, having taught qualitative data analysis in more than fifty universities and research centres worldwide, including universities in Qatar and Iran. She is an NVivo Certified Platinum Trainer and is part of the NVivo Academy training team for the NVivo online courses. 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 Paré teaches qualitative research methods at the Open University of Catalonia (UOC) and is a freelance methodologist in qualitative data analysis.