Data Management and Analysis for Qualitative Data using NVIVO Course

IntroductionThis course is designed for participants who plan to use NVIVO for the management, coding, analysis and visualisation of qualitative data. The course’s content is spread over four modules and includes setting up an NVIVO project and organising data; coding data, working with case and attributes; seeking patterns and identifying relationships across data, and presenting findings using graphic displays. The course is entirely hands-on and uses sample data to learn NVIVO’s basics and advanced features.  Duration 5 days  Who Should Attend? Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyse data with NVIVO Course Objective: o Understand how to set up a project in NVivo o Understand how to import, create and work with codes and nodes in NVivo o Manage all your material conveniently in one project file, easily work with material in your own language o Effortlessly share your work with others o Easily manage your information and enhance your internal workflow and reporting processes Course content Understanding Qualitative Research o Qualitative Data o Types of Qualitative Data o Sources of Qualitative data o Qualitative vs Quantitative o NVivo key terms o The NVivo Workspace Preliminaries of Qualitative Data Analysis o What is qualitative data analysis o Approaches in Qualitative data analysis; deductive and inductive approach o Points of focus in analysis of text data o Principles of Qualitative data analysis o Process of Qualitative data analysis Introduction to NVIVO o NVIVO Key terms o NVIVO interface o NVIVO workspace o Use of NVIVO ribbons NVIVO Projects o Creating new projects o Creating a new project o Opening and Saving project o Working with Qualitative data files o Importing Documents o Merging and exporting projects o Managing projects o Working with different data sources  Nodes in NVIVO o Theme codes o Case nodes o Relationships nodes o Node matrices o Type of Nodes, o Creating nodes o Browsing Nodes o Creating Memos o Memos, annotations and links o Creating a linked memo Classes and summaries o Source classifications o Case classifications o Node classifications o Creating Attributes within NVivo o Importing Attributes from a Spreadsheet o Getting Results; Coding Query and Matrix Query Coding o Data-driven vs theory-driven coding o Analytic coding o Descriptive coding o Thematic coding o Tree coding Thematic Analytics in NVIVO o Organize, store and retrieve data o Cluster sources based on the words they contain o Text searches and word counts through word frequency queries. o Examine themes and structure in your content Queries using NVIVO o Queries for textual analysis o Queries for exploring coding Building on the Analysis o Content Analysis; Descriptive, interpretative o Narrative Analysis o Discourse Analysis o Grounded Theory Qualitative Analysis Results Interpretation o Comparing analysis results with research questions o Summarizing finding under major categories o Drawing conclusions and lessons learned Visualizing NVIVO project o Display data in charts o Creating models and graphs to visualize connections o Tree maps and cluster analysis diagrams o Display your data in charts o Create models and graphs to visualize connections o Qualitative report format o Reporting qualitative research o Reporting content o Interpretation o Create reports and extracts Triangulating results and Sources o Triangulating with quantitative data o Using different participatory techniques to measure the same indicator o Comparing analysis from different data sources o Checking the consistency on respondent on similar topic Report Writing