Qualitative Data Analysis

Course Description.

This course introduces Qualitative Data Analysis, guiding learners through the research process from data collection to coding, theme development, interpretation, and reporting. Participants will gain practical skills using qualitative methods and computer-assisted tools to analyze social and health research data effectively.

Course Objectives:

By the end of this course, the learner should be able to:
1. Explain the philosophical foundations and principles of qualitative research.
2. Differentiate qualitative research from quantitative research in design, data
collection, and analysis.
3. Select appropriate qualitative research designs, sampling strategies, and data
collection methods.
4. Prepare and manage qualitative data, including transcription and metadata
documentation.
5. Apply inductive and deductive approaches in qualitative data analysis.
6. Systematically code qualitative data and develop categories and themes.
7. Utilize qualitative data analysis software to organize, code, retrieve, and visualize
data.
8. Interpret qualitative findings within their social, cultural, and contextual settings.
9. Apply strategies to ensure rigor, credibility, and trustworthiness in qualitative
analysis.

10.Communicate qualitative findings clearly through academic reports and
presentations.

Course Outline:

Module 1: Introduction to Qualitative Research

• Introduction to Qualitative Research
• Dimensions of Qualitative Methods
• Qualitative Study Designs
• Sampling in Qualitative Research

Module 2:  Qualitative Data

• Overview of Qualitative Data
• Introduction to Data Types
• Types of Qualitative Data

Module 3: Qualitative Data Collection and Methods

• Introduction to Data Collection
•  Questions for Qualitative Interviews
• Other Data Collection Techniques (optional, e.g., focus groups, observations)

Module 4: Data Preparation and cleaning

• Transcription and translation
• Preparing Metadata
• Organizing Qualitative Data for Analysis

Module 5: Qualitative Analysis

• Introduction to Qualitative Data Analysis
• Purpose and Importance of Analysis

Module 6: Approaches in Analysis

• Qualitative vs Quantitative Data Analysis
• Key Terms Used in Analysis
• Principles of Qualitative Data Analysis
• Features of Qualitative Data Analysis
• Process of Qualitative Data Analysis

Model 7: Data Collection and QDA Software

• Types of Qualitative Analysis
• Strategies for Analyzing Observations
• Data Collection Considerations
• Introduction to QDA (Qualitative Data Analysis) Software

Course Delivarables

• Coded qualitative dataset
•  Analytical summaries and visual outputs
• Final qualitative analysis report
• Certificate of Completion / Academic Credit