Training Course on Data Management and Analysis for Qualitative Data using NVivo (DMC009)
Training Course on Data Management and Analysis for Qualitative Data using NVivo
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
Online Training: 7 days (4hrs per day)
Classroom Training: 5 days (7hrs per day)
Course Objectives
By the end of this course, participants will be able to:
- Understand core principles, approaches, and designs of qualitative research
- Apply qualitative data analysis processes using inductive and deductive approaches
- Navigate the NVivo interface and manage NVivo projects effectively
- Import, organize, merge, and manage diverse qualitative data sources in NVivo
- Create and manage nodes, cases, classifications, and relationships
- Apply different coding techniques (thematic, analytic, descriptive, tree coding)
- Conduct thematic and text-based analysis using NVivo queries and tools
- Use memos, annotations, and links to support rigorous qualitative analysis
- Perform advanced qualitative analyses (content, narrative, discourse, grounded theory)
- Visualize qualitative data using charts, models, maps, and cluster diagrams
- Triangulate qualitative data with multiple sources, including quantitative data
- Interpret findings, compare results with research questions, and draw conclusions
- Prepare clear, structured, and professional qualitative research reports
Organisational Impact
Upon completion of this course, participating organizations will benefit from:
- Improved quality and consistency of qualitative data management and analysis
- Enhanced evidence-based decision-making through systematic qualitative insights
- Increased capacity of staff to use NVivo for rigorous and transparent analysis
- More efficient handling of large volumes of qualitative data, saving time and resources
- Stronger accountability through well-documented and auditable analysis processes
- Improved triangulation of qualitative and quantitative data for comprehensive reporting
- Higher-quality research outputs to inform program design, monitoring, evaluation, and learning
- Strengthened organizational knowledge management and reporting standards
Personal Impact
By completing this course, participants will:
- Build strong practical skills in qualitative data management and analysis using NVivo
- Gain confidence in designing, coding, and analyzing qualitative research data
- Enhance their ability to interpret complex qualitative findings and draw meaningful conclusions
- Improve efficiency in handling large and diverse qualitative datasets
- Strengthen analytical thinking and qualitative research competencies
- Develop professional skills applicable to research, M&E, academia, and development work
- Increase employability and career advancement opportunities through NVivo proficiency
- Improve the quality of individual research outputs, reports, and publications
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: The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.
Course Language
English
Training Methodology
The course will be delivered using a participatory and hands-on learning approach to ensure practical skill development. The methodology includes:
- Interactive lectures and guided discussions to introduce key concepts and frameworks
- Live demonstrations of NVivo tools and features
- Hands-on practical exercises using real-life qualitative datasets
- Step-by-step guided practice sessions to reinforce learning
- Individual and group-based practical assignments
- Case studies and applied qualitative analysis scenarios
- Question-and-answer sessions and peer learning
- Practical assessments to evaluate skill acquisition
- Trainer-led feedback and continuous support throughout the course
Certification
Upon completion of training, the participant will be issued with a certificate of Completion.
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