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Qualitative Interviewing of Respondents in Large Representative Surveys

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  • Olaf Groh-Samberg
  • Ingrid Tucci

Abstract

Large representative surveys are using mixed methods to an ever-increasing degree. Biomarkers, register data, and experiments, for example, provide different types of data that can be linked with survey data. The use of qualitative interviewing of participants in longitudinal surveys is still rare, however, in the social sciences. Yet qualitative methods have proven just as valuable as quantitative methods in providing insights into social reality by reflecting the multidimensionality of individual life courses and lived realities. Furthermore, indepth interviews can provide a better understanding of individual decision-making processes and behavior resulting from more or less unconscious strategies. They also provide insights into decisive turning points in people’s lives. Finally, by linking quantitative and qualitative data, the reliability of longitudinal information can be analyzed thoroughly in terms of accuracy as well as meaningfulness.

Suggested Citation

  • Olaf Groh-Samberg & Ingrid Tucci, 2010. "Qualitative Interviewing of Respondents in Large Representative Surveys," RatSWD Working Papers 143, German Data Forum (RatSWD).
    • Handle: RePEc:rsw:rswwps:rswwps143
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    References listed on IDEAS

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    1. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Juergen Schupp & Gert Wagner, 2005. "Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey," Working Papers 2096, The Field Experiments Website.
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    3. Nancy Leech & Anthony Onwuegbuzie, 2009. "A typology of mixed methods research designs," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(2), pages 265-275, March.
    4. Kristin S. Seefeldt, 2008. "Working after Welfare: How women Balance Jobs and Family in the Wake of Welfare Reform," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number ww.
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    Cited by:

    1. Dr Ummi Farhani binti Firdaus & Nurul Aqmal bin Roslan & W Fatimah Hanun binti Wan Mohamad Saferdin & Izyan Farhana binti Zulkarnain & Nur Farhani binti Samasu, 2024. "AI Integration in Malaysian Public Administration for Improved Governance," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(9), pages 3799-3812, September.
    2. Nicolas Legewie & Ingrid Tucci, 2016. "Panel-basierte Mixed-Methods-Studien: Design, Feldzugang, Potentiale und Herausforderungen am Beispiel der Studie "Das Erwachsenwerden der Nachkommen von GastarbeiterInnen in Deutschland"," SOEPpapers on Multidisciplinary Panel Data Research 872, DIW Berlin, The German Socio-Economic Panel (SOEP).

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    More about this item

    Keywords

    mixed methods; qualitative data; longitudinal data; life course;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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