Course Overview
Managing and analyzing qualitative data can be a trying experience. Qualitative data is multifaceted, rich in nature, unstructured and at times can be overwhelming where the researcher will be provided with information beyond the scope of the study. Combining qualitative research data management and data analysis with technology is frowned upon by some qualitative researchers. Qualitative researchers now have the option to apply technology tools in their approach for data management and data analysis to ease the complexity of the research process. This course aims to build the capacity of qualitative researchers in qualitative data management and analysis using NVIVO qualitative software. This software has many features that can assist to simplify the whole process of doing qualitative researchThis course is designed for participants who plan to use NVivo for the management, coding, analysis and visualisation of qualitative data. The course is entirely hands-on and uses sample data to learn NVivo’s basics and advanced features.
Duration
5 days
Target Audience
- Researchers and Academics
- Social Scientists
- Market Researchers
- Public Health Professionals
- NGO and Development Sector Workers
- Program Evaluators
- Policy Analysts
- Business Analysts
- Qualitative Data Analysts
Organizational Impacts
- Improved qualitative research outcomes
- Enhanced data-driven decision-making
- Increased efficiency in data analysis processes
- Better reporting and documentation of research findings
- Strengthened capability for comparative analysis across projects
- Streamlined project management and data organization
Personal Impacts
- Mastery of NVivo for qualitative data analysis
- Improved research and analytical skills
- Increased job market competitiveness
- Enhanced ability to manage and analyze complex datasets
- Greater confidence in conducting and reporting qualitative research
- Broadened skill set in advanced qualitative data analysis techniques
Course Level:
Course Objectives
- Understand the NVivo interface and its key features
- Learn how to set up and manage NVivo projects effectively
- Develop skills in coding and categorizing qualitative data
- Analyze qualitative data using NVivo’s query and visualization tools
- Perform advanced data analysis techniques, including comparative and mixed-methods analysis
- Generate and customize reports based on NVivo analysis
- Integrate NVivo findings with other tools for comprehensive reporting and presentation
- Build confidence in managing large datasets and conducting complex qualitative research
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.
Related Courses
Course Administration Details:
Methodology
These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
Payment
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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