Training Course on Data Management and Analysis for Qualitative Data using NVivo

Course Overview

The Data Management and Analysis for Qualitative Data using NVivo is designed to empower participants with the skills required for effective qualitative data management and analysis using NVivo. NVivo is a robust software widely utilized in qualitative research. Through hands-on sessions, participants will navigate the software, import diverse data types, code, and perform advanced analyses to draw meaningful insights. The course covers fundamental and advanced features, ensuring participants gain proficiency in leveraging NVivo for qualitative research.

Course Duration: 5 days

Course Outline

Module 1: Introduction to Qualitative Research

• What is qualitative research?
• Dimensions of qualitative methods
• Qualitative research approaches
• Qualitative data collection methods
• Qualitative research study design

Module 2: Preliminaries of Qualitative data Analysis

• What is qualitative data analysis
• Approaches in Qualitative data analysis; deductive and inductive approach
• Points of focus in analysis of text data
• Principles of Qualitative data analysis
• Process of Qualitative data analysis

Module 3: Introduction to NVIVO and NVIVO Projects

• NVIVO Key terms
• NVIVO interface
• NVIVO workspace
• Use of NVIVO ribbons
• Creating new projects
• Merging, importing and exporting projects
• Managing projects
• Working with different data sources

Module 4: Nodes and Classifications in NVIVO

• Theme codes
• Case nodes
• Relationships nodes
• Node matrices
• Source classifications
• Case classifications
• Node classifications

Module 5: Coding

• Data-driven vs theory-driven coding
• Analytic coding
• Descriptive coding
• Thematic coding
• Tree coding

Module 6: Thematic Analysis using NVIVO

• Organize, store and retrieve data
• Cluster sources based on the words they contain
• Text searches and word counts through word frequency queries.
• Examine themes and structure in your content

Module 7: Memos Annotations and Links

• Linked memos
• Adding annotation to selected content
• See also link

Queries using NVIVO

• Queries for textual analysis
• Queries for exploring coding

Module 8: Building on the Analysis and Interpretation

• Content Analysis; Descriptive, interpretative
• Narrative Analysis
• Discourse Analysis
• Grounded Theory
• Comparing analysis results with research questions
• Summarizing finding under major categories
• Drawing conclusions and lessons learned

Module 9: Visualizing NVIVO project

• Display data in charts
• Creating models and graphs to visualize connections
• Tree maps and cluster analysis diagrams

Module 10: Triangulation of Data Sources

• Triangulating with quantitative data
• Using different participatory techniques to measure the same indicator
• Comparing analysis from different data sources
• Checking the consistency on respondent on similar topic

Module 11: Qualitative Report Writing

• Qualitative report format
• Reporting qualitative research
• Reporting content
• Interpretation

Note: This outline provides a general structure for the training. The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.