Browsing by Subject "Mixed methods research"

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    IUPUI Solution Center Impact Evaluation Study: Lessons Learned
    (2013-10-28) Fitzpatrick, Christine; Garcia, Silvia
    In 2012 an evaluation was conducted to measure the effect of experiential learning activities (class projects, research projects, internships, community-based projects, independent study, or other) coordinated by the IUPUI Solution Center on IUPUI students and faculty members and community partners. Results are based on the perceptions of the populations involved in these experiences, and showed that these experiences: 1) Increase students’ possibilities to experience professional experiences, develop professional skills and practical knowledge, engage with different sectors of the economy, make professional contacts, define their vocational interests and work values, and serve their community. 2) Facilitate faculty members’ opportunities to strengthen their connections with community organizations, collaborate with other IUPUI faculty members, and improve teaching and research. 3) Contribute to increase community partners’ productivity, innovative capacity, effectiveness and the possibility to reach new clients.
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    Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach
    (Sage, 2023) Rattray, Nicholas A.; Miech, Edward J.; True, Gala; Natividad, Diana; Laws, Brian; Frankel, Richard M.; Kukla, Marina; Medicine, School of Medicine
    Researchers need approaches for analyzing complex phenomena when assessing contingency relationships where specific conditions explain an outcome only when combined with other conditions. Using a mixed methods design, we paired configurational methods and qualitative thematic analysis to model contingency in veteran community reintegration outcomes, identifying combinations of conditions that led to success or lack of success in community reintegration among US military veterans. This pairing allowed for modeling contingency at a detailed level beyond the capabilities of either approach alone. Our analysis revealed multiple contingent relationships at work in explaining reintegration, including social support, purpose, cultural adjustment, and military separation experiences. This study contributes to the field of mixed methods by pairing a mathematical cross-case method with a qualitative method to model contingency.