Training on Qualitative Data Analysis Software (MAXQDA, Dedoose)

At some point, every qualitative researcher has stared at 300 interview transcripts and thought:

"This seemed like a good idea at the proposal stage."

The interviews are completed.

The focus groups are transcribed.

The field notes are organized.

The documents are collected.

And now you have thousands of pages of text waiting to be analyzed.

Some researchers respond by highlighting everything.

Others create dozens of spreadsheets.

A few brave souls attempt to manage it all with sticky notes and optimism.

Meanwhile, the deadline gets closer.

This is where qualitative analysis software becomes less of a luxury and more of a survival strategy.

In this course, you'll learn how to:

• Use MAXQDA and Dedoose to organize and analyze qualitative data efficiently
• Develop coding frameworks that support rigorous research
• Identify themes, patterns, relationships, and insights systematically
• Integrate qualitative and mixed-methods data effectively
• Produce transparent, defensible, and high-quality research findings

And yes, we'll discuss why creating 847 codes is usually a sign that your coding framework needs help.

Overview

Qualitative research plays a critical role in understanding human behavior, perceptions, experiences, organizational dynamics, social systems, and policy outcomes. Interviews, focus groups, observations, open-ended survey responses, field notes, policy documents, social media content, and multimedia data provide rich insights that cannot be captured through quantitative methods alone.

However, as qualitative datasets grow larger and more complex, manual approaches to coding and analysis become increasingly time-consuming, inconsistent, and difficult to manage. Researchers require robust tools that support systematic data organization, coding, analysis, visualization, collaboration, and reporting.

Qualitative Data Analysis Software (QDAS) platforms such as MAXQDA and Dedoose have become essential tools for modern researchers, evaluators, policy analysts, development practitioners, and social scientists. These platforms enable researchers to manage large volumes of qualitative and mixed-methods data while enhancing analytical rigor, transparency, and efficiency.

MAXQDA offers powerful capabilities for qualitative, quantitative, and mixed-methods analysis, while Dedoose provides cloud-based collaborative functionality particularly suited to team-based and mixed-methods research environments.

This course equips participants with practical and strategic expertise in using MAXQDA and Dedoose for qualitative and mixed-methods research. Participants will learn how to prepare data, build coding frameworks, conduct thematic analysis, generate visualizations, manage collaborative projects, and communicate findings effectively.

Through hands-on exercises, software demonstrations, coding workshops, analysis projects, and real-world case studies, participants will develop the competencies needed to conduct high-quality qualitative analysis using leading software platforms.

Duration

5 Days

Who Should Attend

• Researchers and academics
• Monitoring and Evaluation (M&E) professionals
• Social scientists
• Public policy analysts
• Development practitioners
• Public health researchers
• Market research professionals
• Graduate students
• NGO and nonprofit staff
• Program evaluators
• Government research officers
• Consultants conducting qualitative studies

Individual Impact

• Strengthen qualitative research skills
• Improve coding and thematic analysis capabilities
• Increase efficiency in managing large datasets
• Enhance mixed-methods research competencies
• Improve research reporting and visualization skills
• Gain practical expertise in industry-standard software tools

Organizational Impact

• Improve quality and consistency of qualitative research
• Strengthen monitoring, evaluation, and learning systems
• Enhance evidence generation and policy analysis capabilities
• Improve collaboration across research teams
• Reduce analysis time and increase productivity
• Support evidence-based decision-making
• Strengthen research governance and transparency

By the end of this course, participants will be able to:

• Understand the role of software in qualitative research
• Set up and manage qualitative analysis projects
• Import and organize qualitative and mixed-methods datasets
• Develop and apply coding frameworks systematically
• Conduct thematic and content analysis
• Visualize qualitative findings effectively
• Integrate quantitative and qualitative data
• Collaborate efficiently on research projects
• Generate reports and analytical outputs
• Improve rigor, transparency, and reproducibility in qualitative research

Module 1: Introduction to Qualitative Data Analysis Software

• Foundations of qualitative data analysis
• Benefits and limitations of QDAS tools
• Overview of MAXQDA and Dedoose
• Qualitative research workflows
• Preparing data for software-based analysis
• Exercise: Setting up research projects
• Case Study: Large-scale qualitative research management

Module 2: Data Organization and Coding Frameworks

• Importing transcripts, documents, audio, and multimedia data
• Creating codebooks and coding schemes
• Deductive and inductive coding approaches
• Managing coding consistency
• Memo writing and annotation techniques
• Practical: Building coding frameworks
• Case Study: Coding complex stakeholder interviews

Module 3: Thematic Analysis and Pattern Identification

• Thematic analysis methodologies
• Code retrieval and exploration
• Identifying themes and subthemes
• Comparative and cross-case analysis
• Query tools and analytical exploration
• Exercise: Thematic analysis workshop
• Case Study: Policy and program evaluation analysis

Module 4: Mixed-Methods Integration and Data Visualization

• Integrating qualitative and quantitative data
• Mixed-methods analytical frameworks
• Visualization and mapping tools
• Code co-occurrence analysis
• Network and relationship analysis
• Practical: Building analytical visualizations
• Case Study: Mixed-methods research applications

Module 5: Collaboration, Reporting, and Advanced Applications

• Team-based coding and collaboration
• Quality assurance and inter-coder reliability
• Generating reports and analytical outputs
• AI-assisted qualitative analysis tools
• Emerging trends in qualitative analytics
• Capstone Exercise: End-to-End Qualitative Analysis Project
• Case Study: Research-to-policy translation