Qualitative data analysis and conceptualization

Third-cycle level | 7.5 credits | Course code: SF30006
VT 2020
Study period: 2020-01-14 - 2020-03-27
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2019-11-11 - 2019-11-25

Course description

The course Qualitative data analysis and conceptualization provides comprehensive and in-depth knowledge of design choices as well as methods for analysis and conceptualization/theorizing. During the course, knowledge turns into skills through the course’s application exercises when course participants analyse empirical materials under the guidance of course teachers. The course consists of both core and elective parts, as well as a series of workshops.

Requirements and Selection

Entry requirements

Qualifying applicants are persons admitted to postgraduate studies at the University of Gothenburg or another university. To be eligible for the course, the applicant must have obtained a passing grade for a social scientific research methods course at the second-cycle level, corresponding to at least 15 higher education credits, or equivalent.

Selection

Place on the course is primarily given to persons admitted to postgraduate education at the Faculty of Social Sciences, then, in turn, persons admitted to the University of Gothenburg, Chalmers University of Technology and other universities in or outside the country.

Other information

The course Qualitative data analysis and conceptualization provides comprehensive and in-depth knowledge of design choices as well as methods for analysis and conceptualization/theorizing. During the course, knowledge turns into skills through the course’s application exercises when course participants analyse empirical materials under the guidance of course teachers. The course consists of both core and elective parts, as well as a series of workshops.

By way of introduction, the course addresses traditions in qualitative social science research, focussing on core issues such as research design, sampling, methods for analysis and conceptualization/theorizing, as well as standards concerning quality, ethics and integrity. Then the PhD-student participates in two specialization modules, both of which deal with design, analysis and conceptualization, but indifferent ways.

In addition, a parallel series of workshops give an introduction to and training in transcribing and analysing qualitative data using computer-supported software. In workshops about transcribing qualitative data students practice transcribing data using computer software programs, and discuss how the choice of procedures depend on research problem as well as ontological, epistemological and ethical considerations. In workshops about the use of computer software programs for analysing data, students practice structuring of data through coding, creation of categories, and building models using the Atlas.ti software – a widely used program for qualitative analysis.

The course concludes with a seminar where the students present papers and provide feedback on other students’ work.

The course (7.5 credits) is open to all PhD candidates within the Faculty of Social Sciences at the University of Gothenburg. It begins January 14 (week 3) and ends March 27 (week 13), 2020. It is scheduled part-time and during office hours on Tuesdays, Thursdays and Fridays.

The course leader and coordinator is Cecilia Hansen Löfstrand, Associate Professor, Department of Sociology and Work Science. E-mail: Cecilia.Lofstrand@gu.se, phone: 031-786 4766

Before the course starts, you are to choose which two specialization modules you prefer to take. Below you can find a short description of the available modules. After you have applied and been accepted to the course, you will receive information about how to submit your choice of modules.

In-depth studies of one or a few cases, based on qualitative data, constitute a cornerstone in the tradition of social science methods. The module case-based comparative analysis provides knowledge about the types of research problems that need a case study design, principles guiding the design, case-selection, data collection, as well as how to actually analyse this type of material. In the module, we address and work with some crucial issues within the field: un-packing the characters of a case, basic logic of comparison, and process tracing as analytical technique. 

Discourse analysis in social science is a methodological approach for analysing language use in society. There are many different approaches to discourse analysis. The module discourse analysis provides a general introduction to discourse analysis in general, including ontological and epistemological underpinnings, and then introduces students to two different approaches: Critical Discourse Analysis (CDA) and Conversation Analysis (CA), the latter focusing specifically on interaction in institutional settings. Course participants will prepare data sessions where CDA and CA, respectively, are applied on concrete texts.

Grounded theory is a widely used and popular qualitative research method across a wide range of social science disciplines and subject areas. It can be adopted by researchers who hold different theoretical perspectives, focus on various levels of analysis, and address diverse areas, e.g. social justice research, policy analyses, organizational studies, societal issues and social psychology, and can be used with a variety of qualitative data. The module grounded theory provides a general overview of the theory and practice of grounded theory, including major standpoints within the field. It teaches systematic guidelines for analysing qualitative data to construct theories ’grounded’ in the data using an iterative-inductive approach. Special focus is placed on hands-on application of these techniques.

Course syllabus

SF30006

Reading and reference list

Reading and reference list for the course

Department

Department of Sociology and Work Science

CONTACTCecilia Hansen Löfstrand

cecilia.lofstrand@socav.gu.se