Quantitative Data Analysis Using Nvivo

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Nvivo is a powerful software for the qualitative and mixed-methods analysis of text, audio, video, survey and social media data. This course will provides a comprehensive overview of NVivo and an opportunity for participants to practice tasks using their own data, where appropriate.

This course covers the latest NVivo version, which comes with a variety of new tools and a slightly new interface. Whether you are completely new to advanced qualitative research analysis and NVivo or have some previous experience with it, you will find this course useful.

Who should attend?

The course is designed for data processing coordinators/supervisors/data entry operators, researchers, demographers, and data managers, all level of persons who has the basic computer knowledge at least and who committed to work related to data processing of the research, and evaluation.

Objective of the course

  • Understand the structure of NVivo and how it can be used throughout a research project.
  • Navigate around the software and operate it to undertake analysis.
  • Understand the importance of analytic planning in harnessing NVivo tools powerfully.
  • Set-up an NVivo project to reflect initial research design and change structures as a research project progresses.
  • Identify NVivo tools that can be used to fulfil specific analytic tasks.
  • Know where to access relevant resources to support continued NVivo use.
  • Visualise data using Nvivo tools

Session 1: Introduction to Qualitative Research

What is qualitative research?
Dimensions of qualitative methods
Qualitative research approaches
Qualitative data collection methods
Qualitative research study design
Session 2: 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
Session 3: Introduction to NVIVO

NVIVO Key terms
NVIVO interface
NVIVO workspace
Use of NVIVO ribbons
Session 4: NVIVO Projects

Creating new projects
Merging, importing and exporting projects
Managing projects
Working with different data sources
Session 5: Nodes in NVIVO

Theme codes
Case nodes
Relationships nodes
Node matrices
Session 6: Classifications

Source classifications
Case classifications
Node classifications
Session 7: Coding

Data-driven vs theory-driven coding
Analytic coding
Descriptive coding
Thematic coding
Tree coding
Session 8: 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
Session 9: Memos Annotations and Links

Linked memos
Adding annotation to selected content
Session 10: Queries using NVIVO

Queries for textual analysis
Queries for exploring coding
Session 11: Building on the Analysis

Content Analysis; Descriptive, interpretative
Narrative Analysis
Discourse Analysis
Grounded Theory
Session 12: Qualitative Analysis Results Interpretation

Comparing analysis results with research questions
Summarizing finding under major categories
Drawing conclusions and lessons learned
Session 14: 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
Session 15: Qualitative Report Writing

Qualitative report format
Reporting qualitative research
Reporting content
Interpretation
In person, or online, with live instructor

Course Information

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Owi_ghola Owi_ghola Author
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