Training Course in Qualitative and Mixed Methods Data Analysis Using MAXQDA
This is a 5-day, hands-on training designed to equip researchers, data analysts, statisticians, and data scientists with the skills to manage and analyze qualitative and mixed-methods data using MAXQDA.
Course Overview
| Course Title | Training Course in Qualitative and Mixed Methods Data Analysis Using MAXQDA |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 5 Days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 500/KES 55,000 (Exclusive of VAT) |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
This is a 5-day, hands-on training designed to equip researchers, data analysts, statisticians, and data scientists with the skills to manage and analyze qualitative and mixed-methods data using MAXQDA.
You will learn how to:
- Set up a MAXQDA project
- Import diverse data types (e.g. interview transcripts, focus-group text, media, survey open-ended responses),
- Organize documents, apply coding (manual and auto-coding),
- Build code systems and categories to code and categorize data
- Run queries and analyses to unearth patterns, themes, and relationships
- Use MAXQDA’s visualization and reporting tools, including code matrices, word clouds, code co-occurrence maps, charts, and summary tables to communicate findings effectively
The course also covers mixed-methods workflows integrating qualitative data with quantitative attributes (e.g. survey variables), enabling joint analysis, comparisons, and cross-referencing.
Duration
5 days
What are the Key Skills from This Course?
- Qualitative data management
- Coding & code system development
- Qualitative and mixed methods analysis
- Data integration for mixed methods workflows
- Visualization and insight communication
- Reporting and exporting results
Who Should Attend This Course?
- Statisticians
- Data Analyst
- Researchers
- Data Scientists
Course Objectives
By the end of this training course, participants will be able to:
- Understand the interface and core functionalities of MAXQDA
- Develop skills in coding and categorizing qualitative data
- Utilize MAXQDA for mixed methods research and data integration
- Learn to visualize and present qualitative data effectively
- Apply MAXQDA features through practical case studies to reinforce learning
Course Requirements
• Proficiency in English
• Basic computer literacy
• Familiarity with data processes
Training Approaches
• Interactive lectures
• Live demonstrations
• Hands-on exercises
• Group discussions
• Real-world case studies
• Knowledge checks and quizzes
• Collaborative group work
Course Modules
Course Outline
Module I: Introduction to MAXQDA
- Overview of MAXQDA interface and features
- Setting up a new project and importing various data types
- Navigating the MAXQDA workspace and tools
- Organizing data with codes, categories, and documents
- Hands-on Exercise: Create a new project in MAXQDA, import qualitative data, and organize it into initial categories and codes
Module II: Coding and Organizing Data
- Creating and applying codes (codes and code systems) to data
- Using MAXQDA’s auto-coding and manual coding features
- Organizing and managing codes and categories
- Analyzing and refining coding schemes
- Hands-on Exercise: Code interview transcripts and organize codes into categories to identify key themes.
Module III: Analyzing Data and Querying Information
- Conducting text searches and queries in MAXQDA
- Analyzing patterns and relationships in coded data
- Using MAXQDA’s visual tools (code matrix, word clouds)
- Performing comparison and cross-analysis between different data sets
- Hands-on Exercise: Use queries and visual tools to analyze a dataset and identify major themes and relationships.
Module IV: Advanced Analysis Techniques
- Performing mixed methods analysis (qualitative and quantitative data integration)
- Utilizing MAXQDA’s advanced analysis features (e.g., mixed methods integration, content analysis)
- Conducting case study analysis and thematic analysis
- Using MAXQDA for longitudinal data analysis
- Case Study: Analyze a mixed methods dataset, integrating qualitative and quantitative data to explore complex research questions.
Module V: Reporting and Exporting Results
- Generating and customizing reports and visualizations in MAXQDA
- Exporting data, codes, and visualizations for presentations and publications
- Integrating MAXQDA findings with other software tools (e.g., MS Word, Excel)
- Preparing a research report based on MAXQDA analysis
- Case Study: Create a comprehensive research report using MAXQDA, including visualizations and detailed findings, ready for presentation.
Course Administration
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
