Qualitative Data Analysis for Everyone

This course introduces you to qualitative analysis which is an art of thoughtfully and thoroughly examining mainly non-numeric data. At the end of this course, you will be able to code data, categorize codes, generate themes and present findings.

Instructor: Philip Adu, PhDLanguage: English

About the course

Course Description: 

Qualitative data analysis is an art of thoughtfully and thoroughly examining mainly non-numeric data with the aim of coming up with a summary which best reflects the data. It is simply retrieving main ideas which would be used to address the research questions or purpose of a study. In this course, I will be introducing you to the unique characteristics of qualitative data analysis and discuss the qualitative analysis process. Also, I present strategies used in coding data, categorizing the codes, and demonstrate how to select and use an appropriate technique. Besides this, you will learn how to create connections among categories/themes and developing illustrations based on the findings. Finally, I’ll teach you how to present qualitative findings.

Course Main Learning Objectives (LO): 

At the end of the modules, students will be able to:

  1. Recognize the main features of qualitative analysis
  2. Prepare qualitative data for analysis
  3. Choose and use an appropriate qualitative coding strategy
  4. Choose and use an appropriate categorization strategy
  5. Connect categories/themes
  6. Develop illustrations to reflect findings
  7. Present qualitative analysis findings

Main Text

Adu, P. (2019). A step-by-step guide to qualitative data coding. Oxford: Routledge

Resource: https://www.slideshare.net/kontorphilip/coding-qualitative-data-a-practical-guide-to-completing-qualitative-data-analysis


Meet Philip Adu, PhD

I'm a Methodology Expert and Founder of Center for Research Methods Consulting. My goal is to help my audience gain skills in doing qualitative research, mixed methods research, action research, and program evaluation.

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