{"title":"Inductive/Deductive Hybrid Thematic Analysis in Mixed Methods Research","authors":"Kevin Proudfoot","doi":"10.1177/15586898221126816","DOIUrl":"https://doi.org/10.1177/15586898221126816","url":null,"abstract":"Inductive/deductive hybrid thematic analysis offers significant opportunities for researchers, but its application within integrative mixed methods research has yet to be fully explored. Firstly, this article contributes by demonstrating the compatibility of inductive/deductive hybrid thematic analysis with quantitative work in a mixed methods approach to research. Secondly, the article then innovates by highlighting the value of this approach within a critical realist meta-theoretical perspective. Here, the critical realist concepts of abduction and retroduction are crucial, both in terms of facilitating the convergence of methods and in the generation of new theory. This article will be of relevance to researchers interested in integrating inductive/deductive hybrid thematic analysis with quantitative methods within a coherent and enabling philosophical paradigm.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"308 - 326"},"PeriodicalIF":3.9,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43848462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Media Review: Qualitative Comparative Analysis in Mixed Methods Research and Evaluation","authors":"Erica L. Doering, B. Cooper","doi":"10.1177/15586898221125636","DOIUrl":"https://doi.org/10.1177/15586898221125636","url":null,"abstract":"Qualitative Comparative Analysis (QCA) is both a case-oriented research approach and analytic technique that uses set theory to understand causal relationships among conditions and an outcome (Rihoux & Ragin, 2009). Both quantitative and qualitative data can be used in QCA making the method useful for mixed methods research (MMR; de Block & Vis, 2019). QCAwas created by a sociologist, Charles Ragin, in 1987 (Ragin, 1987) and has slowly gained traction in multiple fields to provide a deeper understanding of causal complexity (e.g., Hill et al., 2019). If you are looking for a useful resource for understanding and conducting QCA within the context of MMR, we highly recommend Qualitative Comparative Analysis in Mixed Methods Research and Evaluation by Leila C. Kahwati and Heather L. Kane. This text is the 6th volume in the “Mixed Methods Research Series” providing applied and practical practice for QCA within MMR. Kahwati and Kane bring their practical experience using QCA in MMR to life within the pages of this text. The structure, content, and organization allow researchers to quickly grasp QCA and MMR concepts and apply it to their own research. This review comes from the perspective of a graduate student with interest and training in QCA andMMR and a senior researcher with MMR training and experience publishing studies using QCA.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"115 - 117"},"PeriodicalIF":3.9,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41719552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Teaching Mixed Methods Using Active Learning Approaches","authors":"Yuchun Zhou","doi":"10.1177/15586898221120566","DOIUrl":"https://doi.org/10.1177/15586898221120566","url":null,"abstract":"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.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"396 - 418"},"PeriodicalIF":3.9,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41551780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to David Morgan on Triangulation","authors":"Joseph A. Maxwell","doi":"10.1177/15586898221122758","DOIUrl":"https://doi.org/10.1177/15586898221122758","url":null,"abstract":"David Morgan ’ s analysis of the concept of triangulation (Morgan, 2019) raises some important issues for mixed methods researchers. I agree with Morgan ’ s general critique of this concept, and his account of the origin of the term ’ s use in social science provides a valuable clari fi cation of its history. 1 However, neither Morgan ’ s analysis, nor the earlier discussion of this concept by Fetters and Molina-Azorin (2017), makes the important point that “ triangulation ” , aside from its original use in surveying, is a metaphor . Like all metaphors, triangulation provides some insights into the phenomena to which it ’ s applied, while ignoring or obscuring other insights (Lakoff & Johnson, 1980, 2003). This in itself is suf fi cient reason to abandon triangulation as a technical term in the social sciences. 2","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"16 1","pages":"412 - 414"},"PeriodicalIF":3.9,"publicationDate":"2022-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44163650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erratum to “Persuasion with Precision: Using Natural Language Processing to Improve Instrument Fidelity for Risk Communication Experimental Treatments”","authors":"","doi":"10.1177/15586898221120880","DOIUrl":"https://doi.org/10.1177/15586898221120880","url":null,"abstract":"Reinhold, A. M., Raile, E. D., Izurieta, C., McEvoy, J., King, H. W., Poole, G. C., Ready, R. C., Bergmann, N. T., & Shanahan, E. A. (2022). Persuasion with Precision: Using Natural Language Processing to Improve Instrument Fidelity for Risk Communication Experimental Treatments. <i>Journal of Mixed Methods Research</i>. https://doi.org/10.1177/15586898221096934","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"4 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna Dion, Alessandro Carini-Gutierrez, Vania Jimenez, Amal Ben Ameur, Emilie Robert, Lawrence Joseph, Neil Andersson
{"title":"<i>Weight of Evidence</i>: Participatory Methods and Bayesian Updating to Contextualize Evidence Synthesis in Stakeholders' Knowledge.","authors":"Anna Dion, Alessandro Carini-Gutierrez, Vania Jimenez, Amal Ben Ameur, Emilie Robert, Lawrence Joseph, Neil Andersson","doi":"10.1177/15586898211037412","DOIUrl":"https://doi.org/10.1177/15586898211037412","url":null,"abstract":"<p><p>Mixed methods research is well-suited to grapple with questions of what counts as valid knowledge across different contexts and perspectives. This article introduces Weight of Evidence as a transformative procedure for stakeholders to interpret, expand on and prioritize evidence from evidence syntheses, with a focus on engaging populations historically excluded from planning and decision making. This article presents the procedure's five steps using pilot data on perinatal care of immigrant women in Canada, engaging family physicians and birth companions. Fuzzy cognitive mapping offers an accessible and systematic way to generate priors to update published literature with stakeholder priorities. Weight of Evidence is a transparent procedure to broaden what counts as expertise, contributing to a more comprehensive, context-specific, and actionable understanding.</p>","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"16 3","pages":"281-306"},"PeriodicalIF":3.9,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/84/5a/10.1177_15586898211037412.PMC9297342.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40618910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Media Review: Advancing Grounded Theory with Mixed Methods","authors":"Gregory Hadley","doi":"10.1177/15586898221083765","DOIUrl":"https://doi.org/10.1177/15586898221083765","url":null,"abstract":"Fifty years ago, Glaser and Strauss (1967/1999, p. 18) wrote that both qualitative and quantitative data could be used in the grounded theory methodology (GTM)—a point punctuated by Glaser (1978) later when explaining, “There are no limits to the techniques of data collection, the way they are used, or the types of data required” (p. 158). The problem is that Glaser, Strauss, and other early grounded theorists focused primarily on qualitative data analysis in their instructional texts. This early branding of GTM as qualitative in nature has led to a growing interest in what is often called Mixed Methods Grounded Theory Methodology (MM-GTM). However, while increasing numbers of researchers claim to have used MM-GTM over the past 10 years, Guetterman et al.’s (2019) meta-analysis of 61 MM-GTM studies find that few “draw upon all or even most of the major features of grounded theory” (p. 188). It is out of the fog of this current confusion that Elizabeth Creamer emerges with her book entitled Advancing Grounded Theory with Mixed Methods.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"58 2","pages":"381 - 383"},"PeriodicalIF":3.9,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41306758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Embracing the Messiness in Mixed Methods Research: The Craft Attitude","authors":"Nozomi Sakata","doi":"10.1177/15586898221108545","DOIUrl":"https://doi.org/10.1177/15586898221108545","url":null,"abstract":"Whereas the significance and potential impacts of messiness in mixed methods research have been well acknowledged, the literature on mixed methods research has accumulated few examples of engaging and navigating mess. This article provides an account of the nitty-gritty of messiness and its consequences during the process of mixed methods research. By applying the ‘craft attitude’ and a socio-ecological framework for mixed methods research to a mixed methods case study, I demonstrate how my embracing of research messiness through the craft attitude exemplifies the interconnectedness of the personal, interpersonal and social contexts. This article contributes to knowledge by proposing a new way to conceptualize mess in mixed methods research through the integration of the craft attitude within the socio-ecological framework for mixed methods research.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"288 - 307"},"PeriodicalIF":3.9,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43511197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"In This Issue: Transformative and Participatory Methods, Integration Through Multiple Correspondence Analysis, and Network Analysis of Qualitative Data","authors":"José F. Molina-Azorín, M. Fetters","doi":"10.1177/15586898221110387","DOIUrl":"https://doi.org/10.1177/15586898221110387","url":null,"abstract":"This July 2022 issue of the Journal of Mixed Methods Research (JMMR) includes an editorial, four articles, a commentary, and three media reviews. In the editorial, Poth et al. (2022) have collected discussions about mixed methods designs in a virtual special issue (VSI) based on selected articles published in JMMR. They included 13 readings, 10 empirical and methodological articles as well as three editorials that were published between 2008 and June, 2022. They conclude three points from analysis of this collection, a trend toward greater engagement with stakeholders in mixed methods research designs, a need for authors to be consistent and comprehensively use their design terminology throughout all sections of papers, and authentic or detailed reporting to facilitate the understanding of readers about the procedures employed. VSIs are prepared by chief or associate editors with purpose of identifying from previously articles published in JMMR perspectives on key contributions of the articles relative to the chosen theme (Fetters &Molina-Azorı́n, 2020). Previous VSIs have addressed timely topics of discussion in the field such as paradigms in mixed methods research (Molina-Azorin & Fetters, 2020), integration in mixed methods research (Guetterman et al., 2020), and quality in mixed methods research (Fàbregues et al., 2021). Additionally, Shannon-Baker (2022) examined publications from the field of education with a focus on designs, integration, and visual displays. VSI editorials are available open access under the collections link on the JMMR homepage. In the first article in this issue, Dion et al. (2022) with affiliations in health sciences have introduced Weight of Evidence as a transformative procedure to contextualize evidence in the understanding of relevant stakeholders. Through this procedure, stakeholders can interpret, expand upon, and prioritize evidence from synthesis, and inform service improvements and program evaluation that can refine syntheses. The authors describe the philosophical orientations","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"16 1","pages":"271 - 273"},"PeriodicalIF":3.9,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48742343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}