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