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Cited by 514

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Using triangulation to validate themes in qualitative studies

Jonsen, Karsten, Jehn, Karen A.·2009·Qualitative Research in Organizations and Management: An International Journal

Abstract

Purpose: The purpose of this paper is to provide instructional guidance on how to increase validity and reduce subjectivity in qualitative studies, such as grounded theory. The paper also demonstrates how different techniques can help management research by including informants/managers in a time efficient way. Design/methodology/approach: This paper describes how three complementary triangulation methods can be used for validation and exploration of concepts and themes in qualitative studies. Tree graphs, concept mapping, and member checking are applied in a managerial case study, complementing a conventional grounded theory approach. Findings: The paper suggests that naturalistic inquiries, such as grounded theory and thematic analysis, can use mixed methods and multiple sources and coders in order to offset biases and to validate and sort findings. The case study presents three different perspectives on how an organization comprehends diversity as a strategic issue. Originality/value: The paper suggests a mixed methods design that addresses some of the potential shortcomings often found in grounded theory and other qualitative studies, their theory development and their documentation of processes. It positions the approach over the range of the triangulation literature and it argues that it is important to be aware of different triangulation mindsets, and these they are not necessarily contradictory.

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Metadata

Authors
Jonsen, K., & Jehn, K. A.
Venue
Qualitative Research in Organizations and Management: An International Journal
Publisher
Emerald
Published
2009-08-21
Volume
4
Issue
2
Pages
123-150
ISSN
1746-5648 (ISSN-L)
OpenAlex
W2069548922
Cited by
514
References
14
FWCI
42.25
Type
journal article
Language
en
Open access
closed

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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.