Pub Date : 2023-01-01Epub Date: 2022-02-24DOI: 10.1177/15586898211059616
Nicholas A Rattray, Edward J Miech, Gala True, Diana Natividad, Brian Laws, Richard M Frankel, Marina Kukla
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.
{"title":"Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach.","authors":"Nicholas A Rattray, Edward J Miech, Gala True, Diana Natividad, Brian Laws, Richard M Frankel, Marina Kukla","doi":"10.1177/15586898211059616","DOIUrl":"10.1177/15586898211059616","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"70-92"},"PeriodicalIF":3.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/33/8c/10.1177_15586898211059616.PMC9742921.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10363113","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}
Pub Date : 2022-12-09DOI: 10.1177/15586898221143555
José F. Molina-Azorín, T. Guetterman
This January 2023 issue of the Journal of Mixed Methods Research (JMMR) includes an editorial, 5 articles, and 2 media reviews. In the editorial, Guetterman et al. (2023) discuss the issue of quality in mixed methods research. Major developments are reviewed and some remaining gaps and needs are identified. Quality is challenging given different use of terms. For example, quality, validity, and legitimation are often used interchangeably. Quality is further complicated by concerns that research is too contextual and discipline specific to have common quality criteria. However, common criteria are needed, and we concluded with a call to the field to develop core quality reporting criteria for mixed methods research as a way of reaching consensus. Regarding the 5 articles published in this issue, 3 manuscripts focus on quality in mixed methods research. Specifically, in the first article, Hirose and Creswell (2023), with affiliations in psychology and education, proposed 6 core quality criteria: a rationale for mixed methods; quantitative, qualitative, and mixed methods questions or aims; separate quantitative and qualitative data; a mixed methods design and a diagram; integration in a joint display; and metainferences and value from the integration analysis. The authors provided a specific case illustration of these criteria, examining their application in an empirical study. In the second article, Perez et al. (2023), with affiliations in educational psychology and health sciences, also focused on quality standards in mixed methods research, exploring and extending the legitimation typology developed by Onwuegbuzie and Johnson (2006). Specifically, the purpose of this article is to examine how researchers are using this typology in their mixed methods studies and to extend and refine the typology for a better use in mixed methods research.
{"title":"In This Issue: Quality in Mixed Methods Studies and Reviews, Contingency and Configurational Comparative Methods, and Retroductive Theorizing and Critical Realism in Mixed Methods Research","authors":"José F. Molina-Azorín, T. Guetterman","doi":"10.1177/15586898221143555","DOIUrl":"https://doi.org/10.1177/15586898221143555","url":null,"abstract":"This January 2023 issue of the Journal of Mixed Methods Research (JMMR) includes an editorial, 5 articles, and 2 media reviews. In the editorial, Guetterman et al. (2023) discuss the issue of quality in mixed methods research. Major developments are reviewed and some remaining gaps and needs are identified. Quality is challenging given different use of terms. For example, quality, validity, and legitimation are often used interchangeably. Quality is further complicated by concerns that research is too contextual and discipline specific to have common quality criteria. However, common criteria are needed, and we concluded with a call to the field to develop core quality reporting criteria for mixed methods research as a way of reaching consensus. Regarding the 5 articles published in this issue, 3 manuscripts focus on quality in mixed methods research. Specifically, in the first article, Hirose and Creswell (2023), with affiliations in psychology and education, proposed 6 core quality criteria: a rationale for mixed methods; quantitative, qualitative, and mixed methods questions or aims; separate quantitative and qualitative data; a mixed methods design and a diagram; integration in a joint display; and metainferences and value from the integration analysis. The authors provided a specific case illustration of these criteria, examining their application in an empirical study. In the second article, Perez et al. (2023), with affiliations in educational psychology and health sciences, also focused on quality standards in mixed methods research, exploring and extending the legitimation typology developed by Onwuegbuzie and Johnson (2006). Specifically, the purpose of this article is to examine how researchers are using this typology in their mixed methods studies and to extend and refine the typology for a better use in mixed methods research.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"3 - 5"},"PeriodicalIF":3.9,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48451125","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}
Pub Date : 2022-11-22DOI: 10.1177/15586898221143561
T. Guetterman, José F. Molina-Azorín, Sergi Fàbregues
Quality in mixed methods research is a key topic in the fi eld. Avirtual special issue was published in this journal (F`abregues et al., 2021), giving researchers a collection of articles providing practical guidance to evaluate the quality of mixed methods research studies. In the last 15 years, the scholarship on mixed methods research quality has seen three major developments: identifying core criteria for mixed methods research quality, contextualizing criteria for different disciplines and designs
混合方法的质量研究是该领域的一个重要课题。该杂志发表了虚拟特刊(F’abregues et al.， 2021)，为研究人员提供了一系列文章，为评估混合方法研究的质量提供了实用指导。在过去的15年里，关于混合方法研究质量的学术研究有三个主要的发展:确定混合方法研究质量的核心标准，将不同学科和设计的标准背景化
{"title":"The Need to Rigorously Develop Common Quality Guidelines for Reporting Mixed Methods Research","authors":"T. Guetterman, José F. Molina-Azorín, Sergi Fàbregues","doi":"10.1177/15586898221143561","DOIUrl":"https://doi.org/10.1177/15586898221143561","url":null,"abstract":"Quality in mixed methods research is a key topic in the fi eld. Avirtual special issue was published in this journal (F`abregues et al., 2021), giving researchers a collection of articles providing practical guidance to evaluate the quality of mixed methods research studies. In the last 15 years, the scholarship on mixed methods research quality has seen three major developments: identifying core criteria for mixed methods research quality, contextualizing criteria for different disciplines and designs","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"6 - 11"},"PeriodicalIF":3.9,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44166555","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}
Pub Date : 2022-10-22DOI: 10.1177/15586898221135409
Julia Gauly, Arun Ulahannan, A. Grove
Mixed methods research requires data integration from multiple sources. Existing techniques are restricted to integrating a maximum of two data sources, do not provide step-by-step guidance or can be cumbersome where many data need to be integrated. We have solved these limitations through the development of the extended Pillar Integration Process (ePIP), a method which contributes to the field of mixed methods by being the first data integration method providing explicit steps on how to integrate data from three data sources. The ePIP provides greater transparency, validity and consistency compared to existing methods. We provide two worked examples from health sciences and automotive human factors, highlighting its value as a mixed methods integration tool.
{"title":"The Extended Pillar Integration Process (ePIP): A Data Integration Method Allowing the Systematic Synthesis of Findings From Three Different Sources","authors":"Julia Gauly, Arun Ulahannan, A. Grove","doi":"10.1177/15586898221135409","DOIUrl":"https://doi.org/10.1177/15586898221135409","url":null,"abstract":"Mixed methods research requires data integration from multiple sources. Existing techniques are restricted to integrating a maximum of two data sources, do not provide step-by-step guidance or can be cumbersome where many data need to be integrated. We have solved these limitations through the development of the extended Pillar Integration Process (ePIP), a method which contributes to the field of mixed methods by being the first data integration method providing explicit steps on how to integrate data from three data sources. The ePIP provides greater transparency, validity and consistency compared to existing methods. We provide two worked examples from health sciences and automotive human factors, highlighting its value as a mixed methods integration tool.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43908589","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}
Pub Date : 2022-10-22DOI: 10.1177/15586898221134730
Amanda Drury, Payne Sheila, Brady Anne-Marie
Mixed methods research offers a unique opportunity to advance understanding of a phenomenon. However, practical guidance on the use of mixed methods to develop theoretical frameworks is limited. We present a novel adaptation of the Pillar Integration Process (PIP) to support development and refinement of a theoretical framework explaining the processes by which healthcare factors influence cancer survivors’ quality of life. Deductive integration of quantitative and qualitative data, guided by an a priori conceptual model, illuminates the nuances of the relationship between the concepts of interest, producing a theoretical framework, the Model of Healthcare factors influencing Quality of Life in Cancer Survivorship (MoHaQ-CS).
{"title":"Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship","authors":"Amanda Drury, Payne Sheila, Brady Anne-Marie","doi":"10.1177/15586898221134730","DOIUrl":"https://doi.org/10.1177/15586898221134730","url":null,"abstract":"Mixed methods research offers a unique opportunity to advance understanding of a phenomenon. However, practical guidance on the use of mixed methods to develop theoretical frameworks is limited. We present a novel adaptation of the Pillar Integration Process (PIP) to support development and refinement of a theoretical framework explaining the processes by which healthcare factors influence cancer survivors’ quality of life. Deductive integration of quantitative and qualitative data, guided by an a priori conceptual model, illuminates the nuances of the relationship between the concepts of interest, producing a theoretical framework, the Model of Healthcare factors influencing Quality of Life in Cancer Survivorship (MoHaQ-CS).","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"264 - 287"},"PeriodicalIF":3.9,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47376720","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}
Pub Date : 2022-10-21DOI: 10.1177/15586898221135291
Peter Kamstra, J. Farmer, Anthony McCosker, F. Gardiner, H. Dalton, David Perkins, L. Salvador-Carulla, N. Bagheri
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.
{"title":"A Novel Mixed Methods Approach for Integrating Not-for-Profit Service Data via Qualitative Geographic Information System to Explore Authentic Experiences of Ill-Health: A Case Study of Rural Mental Health","authors":"Peter Kamstra, J. Farmer, Anthony McCosker, F. Gardiner, H. Dalton, David Perkins, L. Salvador-Carulla, N. Bagheri","doi":"10.1177/15586898221135291","DOIUrl":"https://doi.org/10.1177/15586898221135291","url":null,"abstract":"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.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"419 - 442"},"PeriodicalIF":3.9,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44842805","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}
Pub Date : 2022-10-14DOI: 10.1177/15586898221115290
Ekaterina Paustyan
In their recent book Qualitative Comparative Analysis Using R: A Beginner’s Guide, Ioana-Elena Oana, Carsten Q. Schneider, and Eva Thomann provide a step-by-step guide on how to implement the latest QCA protocol in R. Published by Cambridge University Press in 2021, the book aims to “facilitate the efficient teaching, use, and independent learning” of QCAwith advanced software (Oana et al., 2021, p. 21). This book is a must-read for beginners as well as experienced scholars. Starting with the basics, it ultimately represents an excellent manual on how to apply the most recent developments in QCA using R software.
{"title":"Media Review: Qualitative Comparative Analysis Using R: A Beginner’s Guide","authors":"Ekaterina Paustyan","doi":"10.1177/15586898221115290","DOIUrl":"https://doi.org/10.1177/15586898221115290","url":null,"abstract":"In their recent book Qualitative Comparative Analysis Using R: A Beginner’s Guide, Ioana-Elena Oana, Carsten Q. Schneider, and Eva Thomann provide a step-by-step guide on how to implement the latest QCA protocol in R. Published by Cambridge University Press in 2021, the book aims to “facilitate the efficient teaching, use, and independent learning” of QCAwith advanced software (Oana et al., 2021, p. 21). This book is a must-read for beginners as well as experienced scholars. Starting with the basics, it ultimately represents an excellent manual on how to apply the most recent developments in QCA using R software.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"118 - 120"},"PeriodicalIF":3.9,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43098182","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}
Pub Date : 2022-10-01DOI: 10.1177/15586898221091371
D. Vazquez-Brust
{"title":"Media Review: Sustainability and small and medium-sized entreprises: Lessons from mixed methods research","authors":"D. Vazquez-Brust","doi":"10.1177/15586898221091371","DOIUrl":"https://doi.org/10.1177/15586898221091371","url":null,"abstract":"","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"16 1","pages":"500 - 502"},"PeriodicalIF":3.9,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44484742","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}
Pub Date : 2022-10-01DOI: 10.1177/15586898221131238
M. Fetters
and or , I of how of designs has and provide arguments for creating naming conventions. I believe the variation in naming re fl ects a broader problem of confusion relative to mixed methods design naming and a unifying and comprehensive mixed methods design taxonomy based on the Linnaean classi fi cation system from the biological sciences. I illustrate how multiple design dimensions could be depicted using a scaffolded design fi gure. I argue that authors using a primary-secondary methodological ordering in design components could begin moving the fi eld toward greater consistency in naming. I to submitting to JMMR an approach for thinking comprehensively about naming of designs and suggestions for the next for the Fetters The scaffolded design concept provides a heuristic for envisioning multiple dimensions of mixed methods research studies three dimensionally, and emphasizing a foundational interconnectivity with other dimensions. Authors can exercise discretion relative to their own perception about the most foundational elements of their studies. That is, the number of scaffolds varies with extent the researchers explicitly include foundational design elements in their study. The range can vary from study to study. Seemingly, the only resistance to the designation of a scaffolded designs categorization comes from educational researchers who already use scaffolding for a different purpose, namely, as a theory for teaching to improve retention of knowledge. In this sense, the term evokes also a well-established meaning from another fi eld already in use, much like the use complex designs and complexity theory.
{"title":"A Comprehensive Taxonomy of Research Designs, a Scaffolded Design Figure for Depicting Essential Dimensions, and Recommendations for Achieving Design Naming Conventions in the Field of Mixed Methods Research","authors":"M. Fetters","doi":"10.1177/15586898221131238","DOIUrl":"https://doi.org/10.1177/15586898221131238","url":null,"abstract":"and or , I of how of designs has and provide arguments for creating naming conventions. I believe the variation in naming re fl ects a broader problem of confusion relative to mixed methods design naming and a unifying and comprehensive mixed methods design taxonomy based on the Linnaean classi fi cation system from the biological sciences. I illustrate how multiple design dimensions could be depicted using a scaffolded design fi gure. I argue that authors using a primary-secondary methodological ordering in design components could begin moving the fi eld toward greater consistency in naming. I to submitting to JMMR an approach for thinking comprehensively about naming of designs and suggestions for the next for the Fetters The scaffolded design concept provides a heuristic for envisioning multiple dimensions of mixed methods research studies three dimensionally, and emphasizing a foundational interconnectivity with other dimensions. Authors can exercise discretion relative to their own perception about the most foundational elements of their studies. That is, the number of scaffolds varies with extent the researchers explicitly include foundational design elements in their study. The range can vary from study to study. Seemingly, the only resistance to the designation of a scaffolded designs categorization comes from educational researchers who already use scaffolding for a different purpose, namely, as a theory for teaching to improve retention of knowledge. In this sense, the term evokes also a well-established meaning from another fi eld already in use, much like the use complex designs and complexity theory.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"16 1","pages":"394 - 411"},"PeriodicalIF":3.9,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49074709","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}
Pub Date : 2022-09-26DOI: 10.1177/15586898221130813
José F. Molina-Azorín, M. Fetters, T. Guetterman
This October 2022 issue of the Journal of Mixed Methods Research (JMMR) includes an editorial, a commentary and rebuttal, four articles, and a media review. In the editorial, Fetters (2022) has articulated multiple reasons for adopting naming conventions in the field of mixed methods research. He has focused on mixed methods designs and on naming convention to reflect designs that move beyond core mixed methods designs into combinations with different levels or aspects of research, for example, philosophical, paradigmatic, theoretical, analytical, and methodological. Specifically, Fetters has proposed a taxonomy inspired by the biological sciences that can include levels beyond the methods for a host of designs referred to by such names as advanced designs, intersected designs, scaffolded designs, and embedded designs. He has provided recommendations for authors submitting to JMMR, and next steps for the mixed methods community. Next, this issue includes a commentary by Maxwell (2022) and a rebuttal by Morgan (2022), following an interesting conversation thread in the journal about the use of the term “triangulation” in mixed methods research and distinction from the aspects of integrating quantitative and qualitative methods (Fetters & Molina-Azorin, 2017, 2019; Hammersley, 2018; Maxwell, 2019; Morgan, 2018, 2019a, 2019b; Sandelowski, 2018). Regarding the four articles published in this October 2022 issue, in the first article, Doran et al. (2022), with affiliations in sociology, nursing, social work, and social statistics, examined the use of narrative methodology with mixed methods research. The authors define narrative mixed methods research as a mixed methods approach that is shaped by stories about the phenomenon under investigation (p. 3). They provided an example from studying the value and impact of social support on the treatment and quality of life of older people with cancer. The authors conducted an
{"title":"In This Issue: Narrative Mixed Methods Research, Visual Methods and Photographs, Joint Display Coding, and Randomized Controlled Trials in Mixed Methods Research","authors":"José F. Molina-Azorín, M. Fetters, T. Guetterman","doi":"10.1177/15586898221130813","DOIUrl":"https://doi.org/10.1177/15586898221130813","url":null,"abstract":"This October 2022 issue of the Journal of Mixed Methods Research (JMMR) includes an editorial, a commentary and rebuttal, four articles, and a media review. In the editorial, Fetters (2022) has articulated multiple reasons for adopting naming conventions in the field of mixed methods research. He has focused on mixed methods designs and on naming convention to reflect designs that move beyond core mixed methods designs into combinations with different levels or aspects of research, for example, philosophical, paradigmatic, theoretical, analytical, and methodological. Specifically, Fetters has proposed a taxonomy inspired by the biological sciences that can include levels beyond the methods for a host of designs referred to by such names as advanced designs, intersected designs, scaffolded designs, and embedded designs. He has provided recommendations for authors submitting to JMMR, and next steps for the mixed methods community. Next, this issue includes a commentary by Maxwell (2022) and a rebuttal by Morgan (2022), following an interesting conversation thread in the journal about the use of the term “triangulation” in mixed methods research and distinction from the aspects of integrating quantitative and qualitative methods (Fetters & Molina-Azorin, 2017, 2019; Hammersley, 2018; Maxwell, 2019; Morgan, 2018, 2019a, 2019b; Sandelowski, 2018). Regarding the four articles published in this October 2022 issue, in the first article, Doran et al. (2022), with affiliations in sociology, nursing, social work, and social statistics, examined the use of narrative methodology with mixed methods research. The authors define narrative mixed methods research as a mixed methods approach that is shaped by stories about the phenomenon under investigation (p. 3). They provided an example from studying the value and impact of social support on the treatment and quality of life of older people with cancer. The authors conducted an","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"16 1","pages":"391 - 393"},"PeriodicalIF":3.9,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47858322","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}
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