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Rationale and procedures for nesting semi-structured interviews in surveys or censuses

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  • Enid Schatz

Abstract

Demographers who use survey data and census data from health and demographic surveillance areas can gain substantially from expanding their repertoire of methods to make use of qualitative methods. Similarly, those who conduct and analyse data primarily from semi-structured interviews or focus groups can benefit from information provided by survey research. This paper presents a systematic mixed-methods model-data-linked nested studies-for sampling respondents for semi-structured interviews from survey or census lists. The paper outlines how to conduct these types of study, and their technical and analytical advantages. It highlights the benefits of building on a strong foundation, the ability to compare samples, and the expansion of the range of evidence for, or against, the validity of the substantive findings. Case studies from two data-linked nested projects-in Malawi and South Africa-are used to describe in detail the nested-study approach.

Suggested Citation

  • Enid Schatz, 2012. "Rationale and procedures for nesting semi-structured interviews in surveys or censuses," Population Studies, Taylor & Francis Journals, vol. 66(2), pages 183-195, July.
    • Handle: RePEc:taf:rpstxx:v:66:y:2012:i:2:p:183-195
    DOI: 10.1080/00324728.2012.658851
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    Cited by:

    1. Nicole Angotti & Amy Kaler, 2013. "The more you learn the less you know? Interpretive ambiguity across three modes of qualitative data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(33), pages 951-980.
    2. Richard Brown & Jørgen Carling & Sonja Fransen & Melissa Siegel, 2014. "Measuring remittances through surveys," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(41), pages 1243-1274.
    3. Sochas, Laura, 2021. "Challenging categorical thinking: A mixed methods approach to explaining health inequalities," Social Science & Medicine, Elsevier, vol. 283(C).

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