Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars.
By Moira Maguire, B. Delahunt. All Ireland Journal of Higher Education, 2017
2,684 citations recorded by the source corpus.
Data analysis is central to credible qualitative research. Indeed the qualitative researcher is often described as the research instrument insofar as his or her ability to understand, describe and interpret experiences and perceptions is key to uncovering meaning in particular circumstances and contexts. While much has been written about qualitative analysis from a theoretical perspective we noticed that often novice, and even more experienced researchers, grapple with the ‘how’ of qualitative analysis. Here we draw on Braun and Clarke’s (2006) framework and apply it in a systematic manner to describe and explain the process of analysis within the context of learning and teaching research. We illustrate the process using a worked example based on (with permission) a short extract from a focus group interview, conducted with undergraduate students.
Subfields: Education
View Paper: https://www.semanticscholar.org/paper/31701b4100ebabae16deba055c28a6bad28e6467
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
Citations in the corpus
- City Digital Twin Potentials: A Review and Research Agenda (2021, methodology): “Thematic analysis is a flexible method that helps find patterns in textual data, primarily if the data set is determined, and to inductively explore the data and draw conclusions [30,31].”
- Characterising the Digital Twin: A systematic literature review (2020, methodology): “A thematic analysis [59] was then performed on the corpus.”