IDEAS home Printed from https://ideas.repec.org/a/taf/rpstxx/v66y2012i2p183-195.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00324728.2012.658851
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00324728.2012.658851?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).
    4. Koul Pawan & Roy Ghatak Ranjit, 2024. "An Analysis of Factors Influencing Green Supply Chain Drivers in the Indian Real Estate Sector Using the ISM-DEMATEL Approach," Foundations of Management, Sciendo, vol. 16(1), pages 83-102.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rpstxx:v:66:y:2012:i:2:p:183-195. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rpst20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.