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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.

Are you planning to conduct interviews or focus groups for your data collection, or perhaps do participant observation during key events or meetings? Or will you be collecting policy papers, press articles, or Internet data from blogs, Facebook or Twitter? If you do any of the above, you will soon or later have to face the pile of data and field notes you collected and analyse them. Will you know how? The aim of this course is to provide participants with strategic understanding and applied skills in planning, conducting, and reporting the process of qualitative data analysis (QDA) in a qualitative study. At the end of the course, participants 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 during the week include: historical problems associated with QDA; links between QDA, the research questions, study objectives, and data collection; approaches to code qualitative data; techniques to seek patterns and identify relationships; and strategies to present findings using graphic displays. The course alternates between lectures, guided exercises, and workshops with NVivo. Participants conducting qualitative research as part of their PhD / postdoc will particularly benefit from the course.


Are you planning to conduct interviews or focus groups for your data collection, or perhaps do participant observation during key events or meetings? Or will you be collecting policy papers, press articles, or Internet data from blogs, Facebook or Twitter? If you do any of the above, you will soon or later have to face the pile of data and field notes you collected and analyse them. Will you know how? The aim of this course is to provide participants with strategic understanding and applied skills in planning, conducting, and reporting the process of qualitative data analysis (QDA) in a qualitative study. At the end of the course, participants 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 during the week include: historical problems associated with QDA; links between QDA, the research questions, study objectives, and data collection; approaches to code qualitative data; techniques to seek patterns and identify relationships; and strategies to present findings using graphic displays. The course alternates between lectures, guided exercises, and workshops with NVivo. Participants conducting qualitative research as part of their PhD / postdoc will particularly benefit from the course.

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