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Qualitative Data Analysis

PhD course in Qualitative Data Analysis.

Qualitative data analysis is a notoriously difficult and often under-estimated aspect of qualitative research. This course aims to provide the participants with a solid understanding of the basics of qualitative data analysis, so as to enable them to carry out their own analyses more efficiently and confidently.

The course responsible lecturer is: Dr Lea Sgier, Central European University (CEU), Budapest.

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The course's focus will be on thematic analysis as the most widely used method of qualitative analysis. Day 1 starts with a general introduction to the logic of qualitative research and the specificities and varieties of qualitative data analysis. It then provides a first theoretical and practical introduction to thematic analysis.

Days 2-4 will be devoted to increasingly complex exercises in thematic analysis (its various stages, from the elaboration of a coding scheme to the coding process, the aggregation of coded elements into a coherent "story" and its writing up).

These exercises will be accompanied by lectures and discussions on key issues related to the analysis as such, such as the role of theory in qualitative data analysis (inductive, deductive and hybrid coding logics, and the logic of working with "sensitising concepts"), epistemological issues (validity, reliability, triangulation, etc.), ethical issues (when dealing with interview data for example) and various practical issues (how to compose a data body, how to deal with research design, etc.).

Part of the exercises will be done on data produced by the participants itself, but we will also look into other kinds of data (for example interview data, media data etc.).

The last day of the course (day 5) consists in a short introduction to discourse analysis that can be useful either as a complement or as an alternative to thematic analysis. Through some sensitising exercises, the participants will be made aware of the existence of layers of meaning of the data that cannot be captured with thematic analysis.


Søknad og opptak


The 19th of February 2016

Pre-requisites: To benefit from this course, the participants should have a general understanding of social science methodology and, if possible, some experience with qualitative research.

The ideal moment to attend this course is when the participants have collected some of their data and are preparing for their analysis. However, students at earlier or later stages of their work are also welcome to attend the course.


Applicants must be enrolled in a PhD program. Applicants who meet the formal requirements for admittance to PhD programs may be considered. The decisions on acceptance will be taken by the course’s responsible.

Applications must include an approximately one-page description about the applicants’ background, education, PhD program and a short description of their project.



Qualitative Data Analysis Spring 2016 (4.-8. april) 10 1 semester, deltid Pilestredet English 20 Ingen
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