Howard, J.L., Eva, N., Leroy, H. et al. (3 more authors) (2025) A configural approach to leadership using latent profile analysis: a key to addressing construct proliferation. European Journal of Work and Organizational Psychology, 34 (5). pp. 485-501. ISSN: 1359-432X
Abstract
In this paper we explore a configural perspective of leadership. From this configural perspective, leadership is not conceptualized or modelled as distinct styles, but rather provides a way to encompass a broad range of leadership approaches arising from the co-occurrence of the same underlying leadership behaviours. As initial support of our theorizing, in two samples, an online sample from the United States (n = 1025) and an organizational sample from The Netherlands (n = 193), we found that the profiles emerging from our data could be mapped onto existing leadership styles. These promising initial results indicate the potential of a configural approach to leadership – which we theorize in our discussion section. We suggest that more attention should be devoted to developing and studying a taxonomy of leader behaviour categories, and subsequently how they combine, rather than siloed leadership styles. Applying a configural approach such as this addresses the construct redundancy and proliferation problems in leadership research.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC-ND 4.0). |
| Keywords: | Leadership; taxonomy; latent profile analysis; proliferation; configural approach |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) |
| Date Deposited: | 09 Apr 2026 09:59 |
| Last Modified: | 09 Apr 2026 09:59 |
| Status: | Published |
| Publisher: | Taylor & Francis |
| Identification Number: | 10.1080/1359432x.2025.2531926 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:239525 |
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Licence: CC-BY-NC-ND 4.0

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