
Identify the universal structure of qualitative data analysis, including data collection, reduction, display, and conclusions, and emphasize reading to reflect, explore and play, coding, and iterative review.
Break transcripts into general codes aligned with research questions, then refine into detailed themes using a coding framework to analyze attitudes and reasons for enrolling.
Develop and refine a coding framework that tells the data's story by inspecting, renaming or merging codes, immersing in the data, and linking codes to higher-level themes like saving face.
Explore going beyond initial coding to extract deeper insights from qualitative data, develop theoretical concepts through analytic procedures, and test ideas to build connected theories.
Within-case analysis guides you to write case memos for each participant, summarize their case, and visualize themes and codes with charts or simple models to reveal connections and code frequency.
Engage in within-case analysis for qualitative data to gain insight into participants' meanings by examining how they talk in English interactions, and explore ascribed and desired selves and implicit messages.
Link data through interconnected analysis steps, including negative cases, to develop a theory supported by evidence, using coding, themes, and abstract categories. Revisit initial models and refine codes.
"I love the presenter’s obvious passion for the subject. He talks about real issues which I too have encountered. I find this both affirming and reassuring. Thank you."
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"Jarek, Thank you for your course- it helped tremendously in conceptually griping the qualitative approach in applying it to my research project."
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"Thanks to this course, I became aware of the main concepts, stages and steps involved in the analysis of qualitative data. The course is presented in a wonderful way and concepts are clearly explained by the tutor. I have learnt a lot from this course. keep up the good work Dr"
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In this course, I will teach you how to analyse qualitative data. Too often qualitative data analysis is equated with simply coding it. As I will show you in this course, however, data analysis starts way before coding, and finishes way after the coding is done.
I love analyzing qualitative data and my personal aim, apart from equipping you with the knowledge required to analyse your data, is to help you understand how enjoyable a process it can be. I also want you to realize that this is not like science - this is a flexible, dynamic and subjective process, and how you analyse your data will depend, above all, on your own decisions and interpretations, your aims and your research questions.
Please watch the video and scroll down to the course curriculum to learn more about the course content, and feel free to ask me questions if you are not sure whether this course is for you.
Otherwise, see you in the course! :)
Dr K (Jarek)