The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Strategies for conducting elite interviews
Open accessAbstract
This article addresses some strategies for conducting elite interviews. It draws upon material from a significant number of interviews that the author has conducted with this group in a variety of economic sectors and countries, as well as from the social sciences literature on elites. The aim of the article is to provide insights into the particularities of interviewing elites for those new to researching this group. In particular, it focuses on gaining trust and gauging the tone of the interview, how to present oneself during the interview, asking open- and closed-questions, the appropriate length of an interview, whether to record the conversation, coping with difficult scenarios, asking awkward questions, managing respondents who do not answer the question, keeping respondents interested in the interview and finally gaining feedback from respondents.
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Cites
Burt, R. S. (1992) · doi:10.4159/9780674029095 · Cited by 9,093
Cited by
The use of triangulation in qualitative studies employing elite interviews
Natow, R. S. (2020) · Qualitative Research · doi:10.1177/1468794119830077 · Cited by 466
Say my name? Anonymity or not in elite interviewing
Ellersgaard, C. H., Ditlevsen, K., & Larsen, A. G. (2022) · International Journal of Social Research Methodology · doi:10.1080/13645579.2021.1932717 · Cited by 31
Metadata
- Authors
- Harvey, W. S.
- Venue
- Qualitative Research
- Publisher
- SAGE Publications
- Published
- 2011-08
- Volume
- 11
- Issue
- 4
- Pages
- 431-441
- ISSN
- 1468-7941 (ISSN-L)
- 1741-3109
- OpenAlex
- W1963751127
- Cited by
- 781
- References
- 1
- FWCI
- 62.15
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.