Many researchers these days collect their data through a mixture of quantitative and qualitative (open ended) responses. If you are planning to conduct interviews or focus groups for your data collection, or perhaps do participant observation during key events or meetings or you will be collecting policy papers, press articles, or Internet data from online survey tools like Survey Monkey, Fluid Surveys and Survey Wizard, blogs, Facebook or Twitter, soon or later you will be faced with piles of data and field notes you collected for analysis. Will you know how?
This course aims to provide participants with strategic understanding and applied skills in planning, conducting, and reporting the process of qualitative data analysis (QDA) in a research projects. At the end of the course, participants will be able to plan, conduct, and critically assess the quality of QDA in their own and other people’s research. Participants will also learn how to use NVivo10 in QDA.
NVivo 10 is a software package for analysis of qualitative data, such as transcripts of in-depth interviews, focus groups and field notes.
Who should attend?
This is a general course targeting participants with basic knowledge of qualitative research required. No requirement of qualitative analysis or NVivo.
Anyone from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some basic knowledge of qualitative research, but wish to be conversant with the concepts and applications of QDA qualifies.
This course is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts.
- Understand how to set up a project in NVivo
- Understand how to import, create and work with codes and nodes in NVivo
- Manage all your material conveniently in one project file, easily work with material in your own language
- Effortlessly share your work with others
- Easily manage your information and enhance your internal workflow and reporting processes
- Deliver quality outputs backed by a transparent discovery and analysis process
- Justify decision making with sound findings and evidence-based recommendations
- Revisit data easily, build up the big picture perspective
Topics to be covered
Foundations of QDA
- History and problems with QDA
- Role of QDA in research design
- Approaches to QDA
Qualitative Analysis methods
- Methods of qualitative analysis
- Successive approximationIntroduction to NVivo
Introducing NVivo’s interface
- Setting up a project in NVivo
- Creating and navigating around a project
Approaches to Coding data
- Strategies in coding qualitative data
- Descriptive, interpretive, pattern codes
- Developing a coding scheme
Coding Documents and materials with NVivo
- Importing documents including PDFs
- Introducing ‘nodes’ to collect data to support the themes, topics or ideas you identify in the data
- Creating and working with nodes
- Nodes and source classification
- Codes and Coding
Working with Internet and Media Sources in NVivo
- Importing image and media sources
- Importing datasets and web data
- Importing data from internet sources
- Importing data from social media
Seeking patterns: Working with your themes and ideas and shaping your findings
- Techniques of seeking patterns
- Viewing your emerging themes, topics or ideas and their content
- Classifying your materials into themes
- Moving, merging and aggregating your themes, topics or ideas
- Coding & cross-tabulated techniques
Data reduction, organization and interpretation
- Reflexive (Memoing) tools
- Condensed notes and summaries
- Transcript notes
- Comments and memos
- Quantitative summaries
- Moving beyond quotes citation
- Running Reports and Extracts
- Reporting the QDA process
- Graphic displays: types and purposes
Sharing your materials and findings
- Exporting Text
- Exporting to Spreadsheet
- Exporting Images and Media
Exporting data from NVIVO to Statistical packages
- Use of Matrix Coding Query
- Editing in MS Excel
- Checking data transfer
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with a certificate of participation.
The training is residential and will be held at T4D Training Centre in Westlands Nairobi, Kenya. The course fees cover the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
We can also tailor-make our courses for you. This way, you/your organization will benefit by:
- Using own tools during the training
- Being able to choose areas of interest you wish the trainer to put more emphasis on
- Taking the course in-house or at a venue of choice
- Cutting on the cost of transport and accommodation
For further inquiries, please contact us on details below:
Email: [email protected]
Mobile: +254 706909947
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: [email protected]
Mobile Number: +254 706909947
The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.
Payment should be transferred to Tech For Development – T4D account through bank on or before the course starting date.
Send proof of payment to [email protected]
Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
- Participants may cancel attendance 14 days or more prior to the training commencement date.
- No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met
Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure