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Friday 17th July, 11:00 - 12:30 Room: L-102

Mixing Survey and Qualitative Data 2

Convenor Professor Nina Baur (Technische Universität Berlin )
Coordinator 1Dr Leila Akremi (Technische Universität Berlin)
Coordinator 2Ms Melanie Wenzel (Technische Universität Berlin)

Session Details

The session invites papers that discuss how to mix survey data with qualitative data, e.g. qualitative interviews, ethnography, video analysis etc. Presenters are specifically asked to discuss what methodlogical problems they faced and how they handled them.

Paper Details

1. Classical Categories of Political&Legal Philosophy in the Social Consciousness of Poles. Methodological Considerations on Combined Qualitative and Quantitative Research Approach
Dr Katarzyna M. Staszynska (Kozminski University)
Professor Zbigniew W. Rau (Faculty of Law and Administration, University of Lodz)

The purpose of the paper is to present how qualitative and quantitative research can be used to analyze the social perception of the fundamental categories of political&legal philosophy. The authors present a case study of the meaning of political power extracted from an empirical analysis of a broader scope of categories (i.e. the individual, society, property, power and the state). The inquiry combines the expertise of two scholarly perspectives: philosophical and sociological, represented by a political & legal philosopher and a sociologist who provided empirical experience in both, qualitative and quantitative research.

2. Exploring disciplinary cultures by combining online survey and group discussion. Evaluation of the university library (Technical University Berlin)
Dr Leila Akremi (Technische Universitaet Berlin)

The presentation focusses on the description of the mixed methods reseach design in our evaluation study, the triangulation of quantitative and qualitative data in order to explore disciplinary cultures, the benefits and problems in data collection/interpretation and finally on the question: Which methodological conclusions can be drawn by the combination of online survey and group discussion?

3. Combining longitudinal survey data and multigenerational qualitative interviews: Status dynamics and educational inheritance
Professor Henning Lohmann (University of Hamburg)
Ms Theresa Büchler (University of Bremen)
Professor Olaf Groh-samberg (University of Bremen)

We carried out qualitative interviews with participants of a long-running household panel survey. Based on the German Socio-Economic Panel Study (SOEP) we drew a purposive sample of young adults. Using survey information on education we defined three-generational mobility types which provided the basis for the sampling plan. We carried out semi-structured interviews with sampled persons and with one of their parents. In the paper we describe the research design, the sampling process, issues of implementation, the interviewing process and give an outlook on the promising potential of combining survey and qualitative interview research.

4. Assessing stability in domestic care arrangements for people with dementia considering the informal carer’s perspective: A challenge for mixed-methods in health services research - Conclusions from the VerAH-Dem (trajectories in domestic care arrangements for people with dementia) study
Ms Milena Von Kutzleben (German Center for Neurodegenerative Diseases (DZNE) Site Witten)

This presentation introduces a mixed-methods study (quantitative questionnaire and qualitative interviews) thats aimed at identifying factors associated with how family carers who are responsible for a community-dwelling person with dementia perceive the stability of the care situation; furthermore, to reconstruct typical trajectories of informal caregiving.
Data analysis used descriptive statistics and non-parametric regression procedures in the quantitative strand and Oervermann's objective hermeneutics to analyze the qualitative data. A mixed-methods approach proved to be useful; however, further research is needed to develop a more comprehensive definition of stability and to develop methodological approaches to better understand