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Critical realism methodology as a guiding framework for interdisciplinary theory enrichment: Reflections on a study of empowerment.

  • Published In: Journal of Community Psychology, 2025, v. 53, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ellison, Erin Rose; Langhout, Regina Day 3 of 3

Abstract

Philosophy of science and ontological assumptions underpin our work as scholars, explicitly, or implicitly. In this paper, we develop empowerment theory with a critical realism (CR) lens. Through the example of a study of empowerment, we examine how can it be used as a guiding paradigm for research in community psychology (CP). We sought to increase theoretical rigor by using a CR approach to interdisciplinarity. We put empowerment into conversation with Social Reproduction Theory and Black, Indigenous, People of Color feminisms, because both represent situated knowledge that address experiences with oppression and focus on dismantling systems of oppression. We illustrate how a CR approach shaped our understanding of empowerment, and in turn, provided an analysis that was (a) more nuanced and actionable, (b) more aligned with CP values and definitions of social justice, and (c) more likely to contribute to the field by developing an intersectional anticapitalist and feminist intervention into empowerment literature. This paper highlights how, aligned with an interdisciplinary CR approach, we questioned assumptions about empowerment theory, which influenced our empirical work so that we could provide a more focused critique of unjust social arrangements, and with it, the possibility to act upon those arrangements. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Community Psychology. 2025/01, Vol. 53, Issue 1, p1
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2025
  • ISSN:0090-4392
  • DOI:10.1002/jcop.22919
  • Accession Number:183985388
  • Copyright Statement:Copyright of Journal of Community Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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