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Despite efforts over the past few decades to promote diversity and foster inclusive campus climates, there is still underrepresentation of Blacks/ African Americans, Latinx/Hispanics, and Native Americans (including Native Hawaiians and Alaska Natives) within the STEM professoriate nationwide. For students who are members of these groups, the culturally isolating experience this deficit creates can weaken one's academic self-perception, and hinder performance in STEM disciplines. This paper explores the relationship between intentionality towards diversity and inclusion in faculty job postings and corresponding faculty demographics at a variety of US postsecondary institutions. The research questions we are investigating are: •In what ways are diversity and inclusion implicitly and explicitly addressed in the evaluated job postings? •Does intentionality towards diversity and inclusion in job postings vary based on the type of position advertised (i.e., tenured/tenure track versus non-tenure-track) or institution type (i.e., Basic Carnegie Classification)? Using HigherEdJobs.com, we conducted an advanced search of all open science and engineering faculty positions containing the keywords "data science", "data engineering", "data analysis", or "data analytics." Each result posted in September 2019 that advertised a full-time tenured/tenure-track or non-tenure track faculty appointment for at least one academic year at a US college or university was recorded. All qualifying job postings were qualitatively analyzed for active, intentional recruitment of URM candidates. Intentionality towards diversity and inclusion varied significantly across job postings. While some had no reference to diversity beyond a required one-sentence equal employment opportunity (EEO) statement, others explicitly addressed inclusion within the announcements, and still others required a standalone diversity statement as part of a complete application. The results will help to inform strategies for recruiting URM faculty in STEM disciplines, which may lead to improved opportunities to create cultures of inclusion and support for diverse students (undergraduate and graduate) and postdoctoral fellows. 

The field of engineering education research is adopting an increasingly diverse range of qualitative methods. These developments necessitate a coherent language and conceptual framework to critically engage with questions of qualitative research quality.

This article advances discussions of qualitative research quality through sharing and analyzing a methodologically diverse, practice‐based exploration of research quality in the context of five engineering education research studies.

As a group of seven engineering education researchers, we drew on the collaborative inquiry method to systematically examine questions of qualitative research quality in our everyday research practice. We used a process‐based, theoretical framework for research quality as the anchor for these explorations.

We constructed five practice explorations spanning grounded theory, interpretative phenomenological analysis, and various forms of narrative inquiry. Examining the individual contributions as a whole yielded four key insights: quality challenges require examination from multiple theoretical lenses; questions of research quality are implicitly infused in research practice; research quality extends beyond the objects, procedures, and products of research to concern the human context and local research setting; and research quality lies at the heart of introducing novices to interpretive research.

This study demonstrates the potential and further need for the engineering education community to advance methodological theory through purposeful and reflective engagement in research practice across the diverse methodological approaches currently being adopted.