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

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 group...

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Autor principal: Schatz, Enid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750727/
https://www.ncbi.nlm.nih.gov/pubmed/22364562
http://dx.doi.org/10.1080/00324728.2012.658851
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author Schatz, Enid
author_facet Schatz, Enid
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description 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.
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spelling pubmed-37507272013-08-23 Rationale and procedures for nesting semi-structured interviews in surveys or censuses Schatz, Enid Popul Stud (Camb) Research Article 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. Taylor & Francis 2012-02-27 2012-07 /pmc/articles/PMC3750727/ /pubmed/22364562 http://dx.doi.org/10.1080/00324728.2012.658851 Text en © 2012 The Author(s). Published by Routledge. http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Schatz, Enid
Rationale and procedures for nesting semi-structured interviews in surveys or censuses
title Rationale and procedures for nesting semi-structured interviews in surveys or censuses
title_full Rationale and procedures for nesting semi-structured interviews in surveys or censuses
title_fullStr Rationale and procedures for nesting semi-structured interviews in surveys or censuses
title_full_unstemmed Rationale and procedures for nesting semi-structured interviews in surveys or censuses
title_short Rationale and procedures for nesting semi-structured interviews in surveys or censuses
title_sort rationale and procedures for nesting semi-structured interviews in surveys or censuses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750727/
https://www.ncbi.nlm.nih.gov/pubmed/22364562
http://dx.doi.org/10.1080/00324728.2012.658851
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