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Qualitative Data Management and Analysis with NVivo


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.




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.


  • 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


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 approximation Introduction 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

Reporting findings

  • 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


Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.


The instructor led trainings are delivered using a blended learning approach and comprises 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 professional 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 an Indepth Research Services (IRES) certificate.


The training will be held at the IRES Training Centre in in Kigali, Rwanda . The course fee covers 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.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it. 

Mob: +250 789 621 067


This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.


Payment should be transferred to IRES account through bank on or before C.O.B 12th August 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.    Participants may cancel attendance 14 days or more prior to the training commencement date.

2.    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.

Event Properties

Event Duration 5 Days
Event Date 19-08-2019
Event End Date 23-08-2019
Cut off date 12-08-2019
Individual Price(rwanda franc) R₣ 552,000
Individual Price (International) EUR 877
Individual Price(International in Dollars) USD 999
Location Kigali,Rwanda
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