Pub Date : 2024-09-17DOI: 10.1177/15586898241284696
Alex Gillespie, Vlad Glăveanu, Constance de Saint-Laurent, Tania Zittoun, Marcos José Bernal Marcos
A recent challenge is how to mix qualitative interpretation with computational techniques to analyze big qualitative data. To this end, we propose “multi-resolution design” for mixed method analysis of the same data: qualitative analysis zooms-in to provide in-depth contextual insight and quantitative analysis zooms-out to provide measures, associations, and statistical models. The raw qualitative data is transformed between excerpts, counts, and measures; with each having unique gains and losses. Multi-resolution designs entail transforming the data back-and-forth between these data types, recursively quantitizing and qualitizing the data. Two empirical studies illustrate how multi-resolution design can support abductive inference and increase validity. This contributes to mixed methods literature a conceptualization of how mixed analysis of the same big qualitative dataset can create tightly integrated synergies.
{"title":"Multi-Resolution Design: Using Qualitative and Quantitative Analyses to Recursively Zoom in and out of the Same Dataset","authors":"Alex Gillespie, Vlad Glăveanu, Constance de Saint-Laurent, Tania Zittoun, Marcos José Bernal Marcos","doi":"10.1177/15586898241284696","DOIUrl":"https://doi.org/10.1177/15586898241284696","url":null,"abstract":"A recent challenge is how to mix qualitative interpretation with computational techniques to analyze big qualitative data. To this end, we propose “multi-resolution design” for mixed method analysis of the same data: qualitative analysis zooms-in to provide in-depth contextual insight and quantitative analysis zooms-out to provide measures, associations, and statistical models. The raw qualitative data is transformed between excerpts, counts, and measures; with each having unique gains and losses. Multi-resolution designs entail transforming the data back-and-forth between these data types, recursively quantitizing and qualitizing the data. Two empirical studies illustrate how multi-resolution design can support abductive inference and increase validity. This contributes to mixed methods literature a conceptualization of how mixed analysis of the same big qualitative dataset can create tightly integrated synergies.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266929","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 : 2024-09-17DOI: 10.1177/15586898241287305
José F. Molina-Azorin, Timothy C. Guetterman
{"title":"In This Issue: Artificial Intelligence, Bridging Methodological Divides Through Mixed Methods, Literature Reviews, Integration of Structural Equation Modeling and Autoethnography, and Research Problems in Mixed Methods","authors":"José F. Molina-Azorin, Timothy C. Guetterman","doi":"10.1177/15586898241287305","DOIUrl":"https://doi.org/10.1177/15586898241287305","url":null,"abstract":"","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266930","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 : 2024-09-01DOI: 10.1177/15586898241279880
Sarah Munce
{"title":"Media Review: The Sage Handbook of Mixed Methods Research Design","authors":"Sarah Munce","doi":"10.1177/15586898241279880","DOIUrl":"https://doi.org/10.1177/15586898241279880","url":null,"abstract":"","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177010","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 : 2024-07-29DOI: 10.1177/15586898241263466
Timothy C. Guetterman, José F. Molina-Azorin
{"title":"In This Issue: Special Issue Dedicated to Michael D. Fetters","authors":"Timothy C. Guetterman, José F. Molina-Azorin","doi":"10.1177/15586898241263466","DOIUrl":"https://doi.org/10.1177/15586898241263466","url":null,"abstract":"","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141866497","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 : 2024-06-04DOI: 10.1177/15586898241256692
Elizabeth G. Creamer
Priority is a dimension of research design in a mixed method study that provides a signpost to signify how a study’s principal findings were derived. The contribution of mixing has not typically been considered as an explicit component of the weighting of the priority of a mixed methods study. Adding the expression mixed priority to the terminology used to provide transparency about priority is one way to distinguish research with an interactive design where qualitative and quantitative data are merged during analysis to create a sum that is greater than its parts. The most significant implication of this discussion is to add integration as a third factor in the conceptualization of priority in mixed method research.
{"title":"Weighing Mixing in a Decision About Priority in Mixed Methods Research","authors":"Elizabeth G. Creamer","doi":"10.1177/15586898241256692","DOIUrl":"https://doi.org/10.1177/15586898241256692","url":null,"abstract":"Priority is a dimension of research design in a mixed method study that provides a signpost to signify how a study’s principal findings were derived. The contribution of mixing has not typically been considered as an explicit component of the weighting of the priority of a mixed methods study. Adding the expression mixed priority to the terminology used to provide transparency about priority is one way to distinguish research with an interactive design where qualitative and quantitative data are merged during analysis to create a sum that is greater than its parts. The most significant implication of this discussion is to add integration as a third factor in the conceptualization of priority in mixed method research.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141266454","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 : 2024-06-04DOI: 10.1177/15586898241257546
M. DeJonckheere, Lisa M. Vaughn, T. James, A. Schondelmeyer
Qualitative thematic analysis is a commonly used and widely applicable form of qualitative analysis, though it can be challenging to implement. Due to its use across research questions, qualitative traditions, and fields, thematic analysis is also prevalent in mixed methods studies. Despite its widespread use, the term “thematic analysis” is often confused and not always well described in empirical studies. In addition, there is limited guidance on how to use thematic analysis within the context of mixed methods research to ensure rigorous study design and mixed methods integration. Therefore, the purpose of this paper is to describe the definitions, use, and variations of thematic analysis and explore how integration and mixed methods validity may be impacted in mixed methods studies.
{"title":"Qualitative Thematic Analysis in a Mixed Methods Study: Guidelines and Considerations for Integration","authors":"M. DeJonckheere, Lisa M. Vaughn, T. James, A. Schondelmeyer","doi":"10.1177/15586898241257546","DOIUrl":"https://doi.org/10.1177/15586898241257546","url":null,"abstract":"Qualitative thematic analysis is a commonly used and widely applicable form of qualitative analysis, though it can be challenging to implement. Due to its use across research questions, qualitative traditions, and fields, thematic analysis is also prevalent in mixed methods studies. Despite its widespread use, the term “thematic analysis” is often confused and not always well described in empirical studies. In addition, there is limited guidance on how to use thematic analysis within the context of mixed methods research to ensure rigorous study design and mixed methods integration. Therefore, the purpose of this paper is to describe the definitions, use, and variations of thematic analysis and explore how integration and mixed methods validity may be impacted in mixed methods studies.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141266960","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 : 2024-06-04DOI: 10.1177/15586898241255714
Nataliya V. Ivankova, Laura Q. Rogers, Michelle Y. Martin, M. Pisu, Dorophy Pekmezi, Lieu Thompson, Kevin R. Fontaine, Yu-Mei M Schoenberger-Godwin, Allyson Hall, I. Herbey, Jami L. Anderson, Robert A Oster, Kelly Kenzik, Wendy Demark-Wahnefried
Intervention adaptation is a crucial step toward increasing intervention acceptability and translating evidence-based research into practice and broader use. This article describes a pragmatic approach to optimize intervention adaptation of AMPLIFY (AiM, Plan, and act on LIFestYles) web-based diet and exercise program for middle-aged and older cancer survivors by applying mixed methods research. A matrix with adaptation phases, elements, and methods is offered as an overarching framework to assist social and behavioral scientists as they pragmatically apply mixed methods to the process of intervention adaptation. This article contributes to mixed methods research by detailing an effective application and integration of mixed methods across the full spectrum of intervention adaptation (from formative assessment to beta-testing to process evaluation during efficacy testing).
干预调整是提高干预可接受性、将循证研究转化为实践和更广泛应用的关键一步。本文介绍了一种务实的方法，通过应用混合方法研究，优化针对中老年癌症幸存者的 AMPLIFY（AiM、Plan 和 Act on LIFestYles）网络饮食和锻炼计划的干预适应性。本文提供了一个包含适应阶段、要素和方法的矩阵作为总体框架，以帮助社会和行为科学家在干预适应过程中务实地应用混合方法。本文详细介绍了混合方法在干预适应全过程（从形成性评估到 beta 测试，再到疗效测试过程评估）中的有效应用和整合，为混合方法研究做出了贡献。
{"title":"Using Mixed Methods Research to Optimize Healthy Lifestyle Intervention Adaptation for Web-Based Delivery: A Pragmatic Approach","authors":"Nataliya V. Ivankova, Laura Q. Rogers, Michelle Y. Martin, M. Pisu, Dorophy Pekmezi, Lieu Thompson, Kevin R. Fontaine, Yu-Mei M Schoenberger-Godwin, Allyson Hall, I. Herbey, Jami L. Anderson, Robert A Oster, Kelly Kenzik, Wendy Demark-Wahnefried","doi":"10.1177/15586898241255714","DOIUrl":"https://doi.org/10.1177/15586898241255714","url":null,"abstract":"Intervention adaptation is a crucial step toward increasing intervention acceptability and translating evidence-based research into practice and broader use. This article describes a pragmatic approach to optimize intervention adaptation of AMPLIFY (AiM, Plan, and act on LIFestYles) web-based diet and exercise program for middle-aged and older cancer survivors by applying mixed methods research. A matrix with adaptation phases, elements, and methods is offered as an overarching framework to assist social and behavioral scientists as they pragmatically apply mixed methods to the process of intervention adaptation. This article contributes to mixed methods research by detailing an effective application and integration of mixed methods across the full spectrum of intervention adaptation (from formative assessment to beta-testing to process evaluation during efficacy testing).","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141267549","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 : 2024-06-04DOI: 10.1177/15586898241258068
Kathleen M.T. Collins
In this article, interrelated models appropriate for conceptualizing a mixed research design within a hybrid design are presented. Initially, the discussion centers on outlining the core principles defining community-based participatory research and characteristics defining mixed research. The design model presents selective examples of mixed research elements to be considered when the researcher is strategizing the design. The integration model details the language of integration and the role of legitimation as it relates to integration. The integrity model presents selective quality criteria designed to elevate credibility of the conclusions. The contribution of this article lies in its focus on mixed research design within the hybrid design, and the presentation of interrelated models, namely, design, integration, and integrity models that address this focus.
{"title":"Introducing Interrelated Models Appropriate for Designing a Mixed Research Design Within a Hybrid Design","authors":"Kathleen M.T. Collins","doi":"10.1177/15586898241258068","DOIUrl":"https://doi.org/10.1177/15586898241258068","url":null,"abstract":"In this article, interrelated models appropriate for conceptualizing a mixed research design within a hybrid design are presented. Initially, the discussion centers on outlining the core principles defining community-based participatory research and characteristics defining mixed research. The design model presents selective examples of mixed research elements to be considered when the researcher is strategizing the design. The integration model details the language of integration and the role of legitimation as it relates to integration. The integrity model presents selective quality criteria designed to elevate credibility of the conclusions. The contribution of this article lies in its focus on mixed research design within the hybrid design, and the presentation of interrelated models, namely, design, integration, and integrity models that address this focus.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141268158","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 : 2024-05-31DOI: 10.1177/15586898241257555
Sergi Fàbregues, Ahtisham Younas, Elsa Lucia Escalante-Barrios, José F. Molina-Azorin, Pedro Vázquez-Miraz
Although integration is a crucial element of mixed methods research (MMR), most MMR quality frameworks have not comprehensively addressed integration in their criteria. These frameworks tend to focus on whether integration is present, without considering important aspects such as the rigor of the integration processes used or their consistency with the other components of the MMR study. This paper presents the Mixed Methods Integration Quality Framework (MMIQF), which was developed based on a methodological review of the literature on integration in MMR. The proposed framework is intended to be useful to authors and readers of MMR studies who wish to ensure and appraise the appropriate implementation of integration in the design, conduct, and reporting of MMR studies.
{"title":"Toward a Framework for Appraising the Quality of Integration in Mixed Methods Research","authors":"Sergi Fàbregues, Ahtisham Younas, Elsa Lucia Escalante-Barrios, José F. Molina-Azorin, Pedro Vázquez-Miraz","doi":"10.1177/15586898241257555","DOIUrl":"https://doi.org/10.1177/15586898241257555","url":null,"abstract":"Although integration is a crucial element of mixed methods research (MMR), most MMR quality frameworks have not comprehensively addressed integration in their criteria. These frameworks tend to focus on whether integration is present, without considering important aspects such as the rigor of the integration processes used or their consistency with the other components of the MMR study. This paper presents the Mixed Methods Integration Quality Framework (MMIQF), which was developed based on a methodological review of the literature on integration in MMR. The proposed framework is intended to be useful to authors and readers of MMR studies who wish to ensure and appraise the appropriate implementation of integration in the design, conduct, and reporting of MMR studies.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141196354","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 : 2024-05-30DOI: 10.1177/15586898241256834
Donna M. Mertens
Mixed methods researchers who make a commitment to use their work for social betterment take a stance that has implications for their designs. This article contributes to mixed methods by illustrating how designs informed by the transformative and Indigenous paradigms provide examples of both the value of pursuing this goal, as well as the challenges that mixed methods researchers face. Social betterment studies engage with marginalized and vulnerable populations, such as Indigenous nations, people with disabilities, women and girls, and sexual minorities. Insights from the transformative and Indigenous paradigms are provided and illustrated by mixed methods studies. Challenges are discussed along with resources that can help address these challenges.
{"title":"Mixed Methods Research for Social Betterment and a More Just World","authors":"Donna M. Mertens","doi":"10.1177/15586898241256834","DOIUrl":"https://doi.org/10.1177/15586898241256834","url":null,"abstract":"Mixed methods researchers who make a commitment to use their work for social betterment take a stance that has implications for their designs. This article contributes to mixed methods by illustrating how designs informed by the transformative and Indigenous paradigms provide examples of both the value of pursuing this goal, as well as the challenges that mixed methods researchers face. Social betterment studies engage with marginalized and vulnerable populations, such as Indigenous nations, people with disabilities, women and girls, and sexual minorities. Insights from the transformative and Indigenous paradigms are provided and illustrated by mixed methods studies. Challenges are discussed along with resources that can help address these challenges.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141196460","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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