About the Course
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 a qualitative research data management and data analysis with technology is frown 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 research.
This course is aimed at qualitative researchers who want to “technologize” their approach in qualitative data management and analysis.
What you will learn
By the end of the course the learner should be able to:
Introduction to Qualitative Research
Preliminaries of Qualitative data Analysis
Introduction to NVIVO
Nodes in NVIVO
Thematic Analysis using NVIVO
Memos Annotations and Links
Queries using NVIVO
Building on the Analysis
Qualitative Analysis Results Interpretation
Visualizing NVIVO project
Triangulation of Data Sources
Qualitative Report Writing
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Upon successful completion of this course, participants will be issued with a certificate.
The training will be conducted at Devimpact Institute Training Centre, Nairobi Kenya.
The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
|Event Date||March 19,2018, 8:00 am|
|Event End Date||March 23,2018, 4:30 pm|
|Cut off date||March 16,2018|