Course Outline 

Module 1: Introduction to NVivo and Project Setup

• Overview of NVivo interface and features
• Creating a new project and importing data
• Organizing data with folders and nodes
• Basic data management and navigation
• Saving and managing project files
• Case Study: Set up a new NVivo project, import qualitative data, and organize it into initial folders and nodes.

Module 2: Data Coding and Categorization

• Understanding coding and its importance in qualitative analysis
• Creating and applying codes (nodes) to text data
• Using auto-coding and manual coding techniques
• Organizing and refining codes for thematic analysis
• Merging codes for comprehensive categorization
• Case Study: Code interview transcripts to identify key themes and categories.

Module 3: Analyzing and Visualizing Qualitative Data

• Conducting text queries and data searches
• Analyzing patterns and relationships in coded data
• Using NVivo’s visualization tools (word clouds, charts)
• Exploring themes and patterns in data
• Creating and interpreting models and diagrams
• Case Study: Perform a thematic analysis and generate a thematic map to visualize findings using NVivo tools.

Module 4: Advanced Data Analysis Techniques in NVivo

• Utilizing NVivo for comparative analysis (e.g., by demographic groups)
• Analyzing mixed-methods data (combining qualitative and quantitative)
• Conducting framework analysis and narrative analysis
• Using advanced NVivo features like matrix coding queries
• Managing large datasets and complex queries
• Case Study: Conduct a comparative analysis of focus group data to explore differences between participant groups.

Module 5: Reporting and Exporting Findings

• Generating and customizing reports in NVivo
• Creating visual representations (word clouds, models)
• Exporting data and visualizations for presentations
• Integrating NVivo findings with other software (e.g., MS Word, Excel)
• Preparing a research report based on NVivo analysis
• Case Study: Create a comprehensive report summarizing qualitative research findings, including visualizations and key insights.