The DOI matches its Crossref record.
A framework for the analysis of interview data from multiple field research sites
Abstract
In general, papers reporting the results of research studies disclose little detail regarding attributes of study design, analytical processes and methods actually used by researchers. This paper describes in some depth the method choices and analytical protocol used in a field study project. The paper describes initially the link between research question, research design and analytical protocol. The major focus of the paper is the application of a systematic analytical protocol designed to encourage completeness and impartiality in the collection and analysis of qualitative data. These method issues are examined in the context of the author's experiences in the field and through the process of data analysis. The methods used are also examined critically in retrospect.
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Citations
Cited by
Malina, M. A., & Selto, F. H. (2001) · Journal of Management Accounting Research · doi:10.2308/jmar.2001.13.1.47 · Cited by 820
O'Dwyer, B. (2004) · The Real Life Guide to Accounting Research · doi:10.1016/b978-008043972-3/50025-6 · Cited by 270
The Data Analytics Journey: Interactions Among Auditors, Managers, Regulation, and Technology*
Austin, A. A., Carpenter, T. D., Christ, M. H., & Nielson, C. S. (2021) · Contemporary Accounting Research · doi:10.1111/1911-3846.12680 · Cited by 172
Metadata
- Authors
- Lillis, A. M.
- Venue
- Accounting & Finance
- Publisher
- Wiley
- Published
- 1999-03
- Volume
- 39
- Issue
- 1
- Pages
- 79-105
- ISSN
- 0810-5391 (ISSN-L)
- 1467-629X
- OpenAlex
- W2129981171
- Cited by
- 211
- References
- 0
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A framework for the analysis of interview data from multiple field research sites. https://app.cochat.ai/papers/10.1111/1467-629x.00018
- The paper
- Lillis, A. M. (1999). A framework for the analysis of interview data from multiple field research sites. Accounting & Finance. https://doi.org/10.1111/1467-629x.00018
Data sources
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.
