{"title":"Operationalizing and Expanding the Rigorous Mixed Methods Framework for Systematic Reviews: The Case of Inclusive Education","authors":"B. Parey, Elisabeth L. Kutscher","doi":"10.1177/15586898231175192","DOIUrl":"https://doi.org/10.1177/15586898231175192","url":null,"abstract":"Rigor evaluation in mixed methods research is a growing need. Linking rigor to Hong and Pluye’s (2019) concepts of methodological and reporting quality, the purpose of this article is to operationalize and expand Harrison et al.’s (2020) Rigorous Mixed Methods Framework. Drawing from a systematic methodological review of 66 inclusive education studies, we (a) operationalize each element of the original framework, and (b) present arguments for two additional advanced elements, paradigm and ethics. Contributions to the field of mixed methods include situating the concept of rigor in the quality literature, expanding a rigor tool by developing guiding questions, and offering both conceptual and empirical justification for including paradigm and ethics in the rigor tool.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49625623","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":"Graphical Retrieval and Analysis of Temporal Information Systems (GRATIS): An Integrative Mixed Methodology and Open-Access Software to Analyze the (Non-)Linear Chronological Evolution of Information Embedded in Textual/Qualitative Data","authors":"Manuel S. González Canché","doi":"10.1177/15586898231166968","DOIUrl":"https://doi.org/10.1177/15586898231166968","url":null,"abstract":"Like a video that reveals much more than a single photo, the incorporation of time to the analysis of qualitative evidence promotes contextualized understandings and allows research participants and readers to interactively review the processes and rationale that researchers followed to craft their findings and conclusions. However, mixed methods and qualitative methodologies available today forfeit the nuances gained by analyzing the chronological/temporal evolution of processes. We contribute to mixed methods research by introducing graphical retrieval and analysis of temporal information systems (GRATIS), a methodology (and open-access software) designed to visualize and analyze the time-based richness embedded in all qualitative/textual data. GRATIS employs dynamic network visualizations and data science mining/retrieval tools to combat the assumption that longitudinal studies require large timespans. We showcase how all qualitatively- or machine-learning-coded textual data may be analyzed with no extra feature engineering (i.e., data cleaning or preparation), rendering fully integrative/interactive outputs that strengthen the transparency of our findings and conclusions and open the “analytic black box” that characterizes most of mixed methods and qualitative studies to date. GRATIS contributes to democratizing data science by removing financial and computer programming barriers to benefit from data science applications. All data and software to replicate the analyses are provided with this submission.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"1 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41565692","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}
Gabriella Punziano, Ciro C De Falco, Domenico Trezza
{"title":"Digital Mixed Content Analysis for the Study of Digital Platform Social Data: An Illustration from the Analysis of COVID-19 Risk Perception in the Italian Twittersphere.","authors":"Gabriella Punziano, Ciro C De Falco, Domenico Trezza","doi":"10.1177/15586898211067647","DOIUrl":"10.1177/15586898211067647","url":null,"abstract":"<p><p>The explosion of platform social data as digital secondary data, collectable through sophisticated and automatized query systems or algorithms, makes it possible to accumulate huge amounts of dense and miscellaneous data. The challenge for social researchers becomes how to extract meaning and not only trends in a quantitative and in a qualitative manner. Through the application of a <i>digital mixed content analysis design</i>, we present the potentiality of a hybrid digitalized approach to social content applied to a very tricky question: the recognition of risk perception during the first phase of COVID-19 in the Italian Twittersphere. The contribution of our article to mixed methods research consists in the extension of the existing definitions of content analysis as a mixed approach by combining hermeneutic and automated procedures, and by creating a design model with vast application potential, especially when applied to the digital scenario.</p>","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"143-170"},"PeriodicalIF":3.9,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784977/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44302372","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":"Leveraging the Power of Online Qualitative Inquiry in Mixed Methods Research: Novel Prospects and Challenges Amidst COVID-19.","authors":"Cara Meixner, Dan J Spitzner","doi":"10.1177/15586898221084504","DOIUrl":"10.1177/15586898221084504","url":null,"abstract":"<p><p>The rare circumstances of COVID-19 have transformed research toward increased dependence on online spaces. This article examines related challenges and opportunities, focusing on how philosophical and ethical implications are differentially manifest amid crisis. Anchored by a transformative perspective, our framework recognizes heightened vulnerabilities amid COVID-19; it seeks dexterous strategies for implementing qualitative strands that adapt well to a virtual context while remaining philosophically grounded and ethical. Our findings highlight issues of unequal access, disembodiment, safety and vulnerability, researcher positionality, anonymity, and the delineation between private and public spaces; we also showcase an array of virtual qualitative methods. We conclude that ethical practice in the use of online methods is likely to be broadly applicable and adaptable to the mixed methods research community.</p>","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"171-186"},"PeriodicalIF":3.9,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45565794","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":"In This Issue: Collaboration in Mixed Methods Research, Core-Periphery Perspective, Digital Content Mixed Analysis, Online Mixed Methods, Practical Utility of Mixed Methods and the Repertory Grid Technique","authors":"José F. Molina-Azorín, T. Guetterman","doi":"10.1177/15586898231163433","DOIUrl":"https://doi.org/10.1177/15586898231163433","url":null,"abstract":"of collaborative","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"123 - 125"},"PeriodicalIF":3.9,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41513812","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":"Virtual Special Issue on “Collaborative Practices in Mixed Methods Research”","authors":"M. Archibald","doi":"10.1177/15586898231163434","DOIUrl":"https://doi.org/10.1177/15586898231163434","url":null,"abstract":"Mixed methods research (MMR) is inherently a boundary spanning practice (Archibald, 2016). Common to this understanding is that boundary spanning occurs over the methodological borderlines of qualitative and quantitative research approaches. Equally relevant is the boundary spanning that takes place within and between investigative teams, communities, stakeholder groups, and bodies of knowledge. Bridging across boundaries attends to the spirit of diversity characteristic of MMR (Greene, 2007), enables collective responses to complex social problems (Lucero et al., 2018; Poth, 2018), provides opportunities to approach persistent challenges from new angles (Johnson et al., 2007)","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"126 - 134"},"PeriodicalIF":3.9,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44206657","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: Secondary Data in Mixed Methods Research","authors":"Camille R. Quinn","doi":"10.1177/15586898231162761","DOIUrl":"https://doi.org/10.1177/15586898231162761","url":null,"abstract":"Mixed methods research (","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"17 1","pages":"327 - 329"},"PeriodicalIF":3.9,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48514940","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}
Kamali N. Sripathi, R. Moscarella, Matthew Steele, Rachel Yoho, Hyesun You, L. Prevost, M. Urban-Lurain, John E. Merrill, Kevin C. Haudek
{"title":"Machine Learning Mixed Methods Text Analysis: An Illustration From Automated Scoring Models of Student Writing in Biology Education","authors":"Kamali N. Sripathi, R. Moscarella, Matthew Steele, Rachel Yoho, Hyesun You, L. Prevost, M. Urban-Lurain, John E. Merrill, Kevin C. Haudek","doi":"10.1177/15586898231153946","DOIUrl":"https://doi.org/10.1177/15586898231153946","url":null,"abstract":"Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and second an iterative complex design. We first trained our predictive model using qualitative coding of categories (ideas) in student writing. We next revised our model based on feedback from instructor-users. The model itself highlighted categories in need of revision. The contribution to mixed methods research lies in our innovative use of the machine learning tool as a rapid, consistent additional coder, and a resource that can predict codes for new student writing.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46675047","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}
V. Khanassov, Laura Rojas-Rozo, Ana Gabriela Saavedra Ruiz, Marwa Ilali, M. Le Berre, I. Vedel
{"title":"Telemedicine for Older Adults in Primary Care Practice: Multi-Phase Study Results","authors":"V. Khanassov, Laura Rojas-Rozo, Ana Gabriela Saavedra Ruiz, Marwa Ilali, M. Le Berre, I. Vedel","doi":"10.1370/afm.21.s1.3589","DOIUrl":"https://doi.org/10.1370/afm.21.s1.3589","url":null,"abstract":"","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"305 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89048965","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}