Guetterman, Timothy C.; Motohara, Satoko; Molina-Azorin, José F.
doi: 10.1177/15586898231202075pmid: N/A
Banyard, Victoria L.; Edwards, Katie M.; Rizzo, Andrew J.; Segura-Montagut, Anna; Greenberg, Patricia; Kearns, Megan C.
doi: 10.1177/15586898221108013pmid: 38654841
While mixed methods research can enhance studies of intervention outcomes and projects where research itself transforms communities through participatory approaches, methodologists need explicit examples. As the field of interpersonal violence prevention increasingly embraces community-level prevention strategies, it may benefit from research methods that mirror community-building prevention processes. A multiphase mixed methods study with sequential and convergent components assessed the feasibility, and impact of a prevention program to change social norms and increase collective efficacy in towns. Joint display analysis created a nuanced picture of the acceptability, feasibility, and impact of the program. This article contributes to the field of mixed methods research by bridging discussions of “interventionist” studies with models of community-based participatory mixed methods research into a combined community-engaged method.
Reinhold, Ann Marie; Raile, Eric D.; Izurieta, Clemente; McEvoy, Jamie; King, Henry W.; Poole, Geoffrey C.; Ready, Richard C.; Bergmann, Nicolas T.; Shanahan, Elizabeth A.
doi: 10.1177/15586898221096934pmid: 39193005
Instrument fidelity in message testing research hinges upon how precisely messages operationalize treatment conditions. However, numerous message testing studies have unmitigated threats to validity and reliability because no established procedures exist to guide construction of message treatments. Their construction typically occurs in a black box, resulting in suspect inferential conclusions about treatment effects. Because a mixed methods approach is needed to enhance instrument fidelity in message testing research, this article contributes to the field of mixed methods research by presenting an integrated multistage procedure for constructing precise message treatments using an exploratory sequential mixed methods design. This work harnesses the power of integration through crossover analysis to improve instrument fidelity in message testing research through the use of natural language processing (NLP).
doi: 10.1177/15586898221120566pmid: N/A
There is a paucity of empirical research on teaching mixed methods. To fill this gap in literature, this convergent mixed methods study explores the effectiveness of using active learning approaches in teaching a mixed methods course. The qualitative data, including 10 individual interviews, 29 students’ reflections, and 26 teaching evaluation surveys, were used to examine students’ learning experience and outcomes. Students’ presentations (N = 29) and final papers (N = 29) were transformed into numbers as the quantitative data. The converged results indicated that students were actively engaged in learning and achieved the expected learning outcomes. This study makes valuable contributions to the mixed methods pedagogical culture by providing details and suggestions on how to use active learning approaches in teaching mixed methods.
Kamstra, Peter; Farmer, Jane; McCosker, Anthony; Gardiner, Fergus; Dalton, Hazel; Perkins, David; Salvador-Carulla, Luis; Bagheri, Nasser
doi: 10.1177/15586898221135291pmid: N/A
Meeting the mental health needs of rural populations is challenging internationally, with few methods and scarce data available to inform site-specific planning. We developed a mixed methods approach that integrates Not-for-profit (NFP) organization data in a Geographic Information System (GIS) to explore interrelated understandings of mental health experiences in rural places. Integrating qualitative experience data from online forums with quantitative data from service search and emergency pickup locations via GIS demonstrates how NFP health service data can be ethically sourced, reused, integrated, analyzed, and ground-truthed to explore how mental health is experienced in rural places. This article contributes to the mixed methods literature an ethical approach that utilizes NFP health service datasets to inform research in contexts of data scarcity.
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