FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
05/02/2024-09/02/2024 Analysis of Qualitative Data Using NVivo
13/05/2024-17/05/2024 Analysis of Qualitative Data Using NVivo
19/08/2024-23/08/2024 Analysis of Qualitative Data Using NVivo
04/11/2024-08/11/2024 Analysis of Qualitative Data Using NVivo

Introduction
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.

Duration
5 Days

Course Objectives
By the end of the course the learner should be able to:
• Understand qualitative analysis approaches
• Understand different qualitative data collection methods
• Set up a project in NVivo
• Create a framework for qualitative data analysis using NVivo
• Carry out qualitative data analysis using NVivo
• Write a qualitative report

Course Outline
Module 1: Introduction
Introduction to Qualitative Research
• What is qualitative research?
• Dimensions of qualitative methods
• Qualitative research approaches
• Qualitative data collection methods
• Qualitative research study design
Preliminaries of Qualitative data Analysis
• What is qualitative data analysis
• Approaches in Qualitative data analysis; deductive and inductive approach
• Points of focus in analysis of text data
• Principles of Qualitative data analysis
• Process of Qualitative data analysis
Introduction to NVivo
• NVivo Key terms
• NVivo interface
• NVivo workspace
• Use of NVivo ribbons
Module 2: Project Management
NVivo Projects
• Creating new projects
• Merging, importing and exporting projects
• Managing projects
• Working with different data sources
Nodes in NVivo
• Theme codes
• Case nodes
• Relationships nodes
• Node matrices
Classifications
• Source classifications
• Case classifications
• Node classifications

Module 3: Coding and Analysis
Coding
• Data-driven vs theory-driven coding
• Analytic coding
• Descriptive coding
• Thematic coding
• Tree coding
Thematic Analysis using NVivo
• Organize, store and retrieve data
• Cluster sources based on the words they contain
• Text searches and word counts through word frequency queries.
• Examine themes and structure in your content
Memos Annotations and Links
• Linked memos
• Adding annotation to selected content
• See also link
Queries using NVivo
• Queries for textual analysis
• Queries for exploring coding
Module 4: Analysis, interpretation and visualization
Building on the Analysis
• Content Analysis; Descriptive, interpretative
• Narrative Analysis
• Discourse Analysis
• Grounded Theory
Qualitative Analysis Results Interpretation
• Comparing analysis results with research questions
• Summarizing finding under major categories
• Drawing conclusions and lessons learned
Visualizing NVivo project
• Display data in charts
• Creating models and graphs to visualize connections
• Tree maps and cluster analysis diagrams
Module 5: Triangulation of Data Sources and Reporting
Triangulation of Data Sources
• Triangulating with quantitative data
• Using different participatory techniques to measure the same indicator
• Comparing analysis from different data sources
• Checking the consistency on respondent on similar topic
Qualitative Report Writing
• Qualitative report format
• Reporting qualitative research
• Reporting content
• Interpretation
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Training Customization
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile or Email.

Requirements
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

Training Fee
Cost:
In-person USD 1000
Online USD 900
Registration
February in-person/online
May in-person/online
August in-person/online
November in-person/online
Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to the organization email.
For any registration of 3 or more participants; we offer a discount of up to 10%.
This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.
Accommodation
Accommodation is arranged upon request. For reservations contact us through Mobile or Email.

Payment
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email.

Cancellation Policy
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.