Research Methods Workshops

The ASHE Research Methods Workshops are intended as a space for ASHE members to engage with and explore cutting-edge quantitative and qualitative research methodologies in ways that center critical methods and inquiry in research. Each workshop will be led by leading scholars in the field and will challenge participants to expand their methodological imagination.

These workshops are sponsored by:

Who should attend:

While the workshops are open to anyone who is interested, the following groups may benefit the most from the content:
  • Graduate students currently preparing for the dissertation (e.g., dissertation proposal stage) or who do not have access to such methodological opportunities at their home campuses
  • Adjunct, clinical, and post-doctoral scholars

Workshop Series Chair

  • Carrie Kortegast, Northern Illinois University,
Please feel free to reach out to the event chair with questions about the content of the workshops. Questions about registration or event logistics can be directed to the ASHE Office at (702) 895-2737 or


  • Registration fees are:
    • $10 per workshop for Graduate Student Members
    • $20 per workshop for all other current ASHE Member
    • $35 per workshop for Non-Members
  • Registration Close and Payment Deadline: One week prior to each event
  • We especially encourage graduate students to contact their program faculty to seek institutional support to attend these workshops. We strongly encourage programs to cover the registration fee for these events, as possible. If additional documentation is needed, please contact ASHE Executive Director Jason Guilbeau at

Decolonizing Qualitative Research in Higher Education

Friday, October 2, 2020 | 11:00am-12:30pm Central/New Orleans Time

In this session, we will engage with the methodological undertakings of decolonizing research in higher education. We will explore the epistemological and ontological constructs of decolonial research and ask what it means to decolonize research. Participants will be invited to join the presenters in reconsidering the possibilities of qualitative research that engages decolonial commitments.

  • Heather J. Shotton, University of Oklahoma
  • Z Nicolazzo, University of Arizona
  • Amanda Tachine, Arizona State University

Registration for this event is now closed and the event is full. No late registrations will be accepted.

Quantitative Criticalism and Social Identity Items in Survey Design

Friday, October 16, 2020 | 11:00am-12:30pm Central/New Orleans Time

In this session, we will learn critical approaches to developing and using social identity items in survey design. We will begin by overviewing tenets of critical and poststructural theories, survey design, and quantitative criticalism. Following, we will discuss both development and use of social identities in quantitative scholarship through the lenses of intersectionality, critical race theory, and queer theory. All skill levels are welcome and no prerequisite knowledge is needed.

  • Jason C. Garvey, University of Vermont

Critical Theory and Qualitative Data Analysis in Higher Education

Friday, October 23, 2020 | 11:00am-12:30pm Central/New Orleans Time

The workshop will introduce participants to ways that critical theories can be applied toward qualitative data analysis techniques. Workshop participants will be encouraged to consider critical theories that might apply to their own projects. We will also consider challenges to critical qualitative research, particularly during the global pandemic, along with ways that some of these challenges might be mitigated.

  • Rachelle Winkle-Wagner, University of Wisconsin – Madison
  • Jamila Lee-Johnson, University of Wisconsin – Whitewater
  • Ashley Gaskew, University of Wisconsin – Madison

Causal Inference for Policy Analysis in Higher Education

Friday, October 30 | 11:00am-12:30pm Central/New Orleans Time

The workshop will introduce participants to causal-inference designs with a focus on applications to policy analysis. We will also address challenges associated with causal-inference research as well as common mistakes made in data analysis, interpretation of findings, and reporting results.

  • Denisa Gandara, Southern Methodist University
  • Meredith Billings, Sam Houston State University