Quality in Interpretive Engineering Education Research: Reflections on an Example Study

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Abstract
Background: The emerging discipline of engineering education research is increasingly embracing a diverse range of interpretive research methods, whose adoption is characterized by a lack of coherent ways to conceptualize, communicate, and judge the quality of interpretive inquiries. Yet fields that have traditionally employed these methods do not offer a consensus about research quality.Purpose: This article presents reflections on challenges to research quality in an example interpretive engineering education study, and offers a quality framework that emerged from this study as a coherent, discipline‐specific view on interpretive research quality.Design/Method: Analysis of the prior study of engineering students' competency formation by the author(s) is combined with a synthesis of the literature from the broad intellectual traditions of the interpretive paradigm to inform the development of a theoretical framework of research quality.Results: Drawing on the engineering metaphor of quality management, we propose a systematic, process‐oriented framework of research quality along two dimensions: a process model locates quality strategies throughout the research process, and a typology systemizes fundamental aspects of validation (theoretical, procedural, communicative, and pragmatic) and the concept of process reliability to explicate quality strategies in their fundamental contribution to substantiating knowledge claims.Conclusion: The quality framework provides a way to develop and demonstrate overall research quality in the interpretive inquiry by shifting attention away from assessing the research quality of a final product. Rather, the framework provides guidance to systematically document and explicitly demonstrate quality considerations throughout the entire research process.

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