This course is designed for participants who plan to use NVIVO for the management, coding, analysis and visualization of qualitative data. The course’s content is spread over four modules and includes setting up an NVIVO project and organizing data; coding data, working with case and attributes; seeking patterns and identifying relationships across data, and presenting findings using graphic displays. The course is entirely hands-on and uses sample data to learn NVIVO’s basics and advanced features. 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 research.
Qualitative Data
Types of Qualitative Data
Sources of Qualitative data
Qualitative vs Quantitative
NVivo key terms
The NVivo Workspace
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
NVIVO Key terms
NVIVO interface
NVIVO workspace
Use of NVIVO ribbons
Creating new projects
Opening and Saving project
Working with Qualitative data files
Importing Documents
Merging and exporting projects
Managing projects
Working with different data sources
Theme codes
Case nodes
Relationships nodes
Node matrices
Type of Nodes,
Creating nodes
Browsing Node
Creating Memo
Memos, annotations and links
Creating a linked memo
Source classifications
Case classifications
Node classifications
Creating Attributes within NVivo
Importing Attributes from a Spreadsheet
Getting Results; Coding Query and Matrix Query
Data-driven vs theory-driven coding
Analytic coding
Descriptive coding
Thematic coding
Tree coding
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
Queries for textual analysis
Queries for exploring coding
Content Analysis; Descriptive, interpretative
Narrative Analysis
Discourse Analysis
Grounded Theory
Comparing analysis results with research questions
Summarizing finding under major categories
Drawing conclusions and lessons learned
Display data in charts
Creating models and graphs to visualize connections
Tree maps and cluster analysis diagrams
Display your data in charts
Create models and graphs to visualize connections
Qualitative report format
Reporting qualitative research
Reporting content
Interpretation
Create reports and extracts
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
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
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