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Upcoming events

    • 10 Sep 2026
    • 10:00 AM - 11:00 AM
    Register

    September 2026 MMIRA Webinar: 

    Integrating ratings and open-ended comments in survey research with contingency table-based crossover analysis.

    Integration across study strands is fundamental to mixed methods research. Crossover analyses are ways of integrating data across study strands from differing traditions. This webinar presents a contingency table-based method of crossover analysis to integrate quantitative scales and open-ended items in survey research. The session will examine the Crossover Analysis Framework (CAF), variations on mixed questions based on the analytic method(s) used in the crossover analysis, and reflections on teaching crossover analysis. Participants will learn how crossover analysis works, how it can be used to enhance mixed methods research questions, and how it can improve the design of survey questions.

    Presenter Bios:

    Dr. Shaun D. Hutchins is a Clinical Associate Professor in the Department of Teaching, Learning and Culture at Texas A&M University. Dr. Hutchins' teaching, research, and practice focus on educational research methodology and applied research and evaluation.

    Dr. Kim Wright is the Assistant Director of the National Network of Education Research-Practice Partnerships (NNERPP), where her work focuses on supporting the infrastructure, relationships, and learning networks that help research-practice partnerships co-create and use practice-centered research in service of educational improvement.

    Dr. Karen E. Rambo-Hernandez is a professor at Texas A&M University in the College of Education and Human Development and focuses on research design and statistical modeling of educational data and access for all students to high quality education.


    September 10 2026 10:00 AM- 11:00 AM (U.S. Eastern Time)

    Note: After registration, you will receive an email that includes a link to the Teams Meeting for the webinar. If you do not receive confirmation soon, please check your junk email box.


    • 02 Nov 2026
    • 8:00 AM - 9:00 AM
    Register

     November 2026 MMIRA Webinar: 

    Using Explanatory Sequential Mixed Methods to Examine Heterogeneity Among Vulnerable Children

    Children living in poverty are often treated as a homogeneous group
    despite having diverse health and social needs. In this webinar, I will
    present an explanatory sequential mixed methods study that explored the
    heterogeneity of children living in public assistance households in
    Japan.
    The study first employed quantitative survey data and soft clustering
    analysis to identify distinct subgroups of children with different
    patterns of needs. Qualitative interviews were subsequently conducted to
    explore how practitioners understood these patterns and what types of
    support might be appropriate for each subgroup. The integration of
    quantitative and qualitative findings provided a more comprehensive
    understanding of children's circumstances than either method alone.
    The webinar will discuss the rationale for using an explanatory
    sequential design, approaches to integrating quantitative and
    qualitative findings, methodological challenges encountered during the
    study, and the implications of mixed methods research for understanding
    health inequities among vulnerable populations.

    Presenter Bio:

    Keiko Ueno, MD, MPH, PhD, is an Assistant Professor in the Innovative
    Clinical Research Center, Kanazawa University Hospital, Japan. She is a
    board-certified emergency physician and primary care physician with
    research expertise in social epidemiology, health equity, emergency
    medical services, and mixed methods research. Her research focuses on
    addressing social determinants of health among vulnerable populations,
    including children living in poverty, older adults, and emergency care
    users. She  has led several mixed methods studies examining health
    inequities and community-based support systems in Japan.


    November 2, 2026 8:00 AM- 9:00 AM (U.S. Eastern Time)

    Note: After registration, you will receive an email that includes a link to the Teams Meeting for the webinar. If you do not receive confirmation soon, please check your junk email box.


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