scholarly journals Commentary—After Triangulation, What Next?

2018 ◽  
Vol 13 (1) ◽  
pp. 6-11 ◽  
Author(s):  
David L. Morgan
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Research Question ◽  
Careful Consideration ◽  
Qualitative And Quantitative ◽  
Comparison Of Results ◽  
Quantitative Studies ◽  
Quantitative Results ◽  
Tests Of Hypotheses

This commentary agrees with the editors’ recent decision to do away with triangulation as a term in mixed methods research, but before doing so, it argues for a review of its original popularity, and a careful consideration of what should replace it. Triangulation depends on the comparison of results from qualitative and quantitative studies that attempt to answer the same research question(s), so there are three possible outcomes: convergence, complementarity, and divergence. After reviewing each of these alternatives, I present an approach that cross-tabulates tests of hypotheses as quantitative results and themes as qualitative results, based on the extent to which those results are convergent, complementary, or divergent.

Using Mixed Methods Research to Better Understand Pediatric Feeding Disorder

2020 ◽  
Vol 5 (6) ◽  
pp. 1623-1630
Author(s):  
Kelsey L. Thompson ◽  
Wanqing Zhang
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Research Question ◽  
Interdisciplinary Teams ◽  
Mixed Methods Study ◽  
Feeding Disorder ◽  
Qualitative And Quantitative ◽  
Heterogenous Population ◽  
Pediatric Feeding ◽  
Study Designs

Purpose Mixed methods research is a relatively new, but growing, research methodology with particular relevance to speech-language pathologists because of its utility in translating research into practice. Mixed methods research involves collection of both qualitative and quantitative data, which is integrated to gain a deeper understanding of a research question, particular population or intervention, or to develop a tool. In particular, pediatric feeding disorder (PFD) research stands to benefit from this methodology to comprehensively and holistically report on this population. Conclusions This article focuses on introducing researchers new to mixed methods, as well as clinicians, to the four basic mixed methods study designs and considerations. To establish a foundational understanding, examples of published work specific to PFD are incorporated and a framework for understanding mixed method study design is proposed. Then, the four designs are examined from the lens of critical appraisal, so that clinicians and researchers are well prepared to critically evaluate mixed methods studies. Finally, applications of mixed methods to PFD are explored, with a commentary on how published examples could be extended using mixed methods designs. This article provides researchers and clinicians with a basic understanding of mixed methods as well as a clear avenue for its application to PFD. Mixed methods has the potential to advance our understanding of the heterogenous population PFD impacts, improve our use of interdisciplinary teams, examine holistic interventions, and develop tools for clinical and research use.

Moving from Tension to Texture

2016 ◽  
pp. 28-38
Author(s):  
Preston B. Cosgrove ◽  
Peter M. Jonas
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Research ◽  
Research Question ◽  
Critical Role ◽  
Research Paradigm ◽  
Qualitative And Quantitative ◽  
Research Paradigms ◽  
Puzzle Box

Much like a jigsaw puzzle box top guides one in how to connect the pieces, an individual's research paradigm operates as a conscious or subconscious influence in conducting a research project. This chapter starts by making the argument for the critical role of research paradigms before moving into a thorough investigation of the paradigmatic origins of the qualitative-quantitative “debate.” While mixed-methods research is often seen as the mediator in the dispute, the authors then articulate four broad ways in which mixed methods research addresses the paradigm divide at the heart of qualitative and quantitative research. The result is paradigmatically complex, but offers researchers flexibility as they seek to address their research question.

scholarly journals Leveraging an Integrated Visual Display for Case-Based Analysis in Mixed Method Research

2021 ◽  
Vol 20 ◽  
pp. 160940692110590
Author(s):  
Elizabeth G. Creamer
Keyword(s):  
Mixed Methods ◽  
Mixed Method ◽  
Mixed Methods Research ◽  
Visual Display ◽  
Visual Methods ◽  
Mixed Method Research ◽  
Analytical Strategy ◽  
Qualitative And Quantitative ◽  
Quantitative Results ◽  
Case Based

A case-based visual display can serve as method for analysis in mixed method research. This methodological article builds an argument for the role that a matrix, diagram, table, or figure can play when used interactively to generate, elaborate, or confirm analytical insight in a case-based analysis in mixed methods research. The article provides an in-depth exploration of two visual methods: timelining and mapping. Timelining adds dimensionality through investigating a temporal sequence, while a mapping activity can do the same with the understanding of physical locations. Both types of visual displays can enhance validity by providing a way to engage qualitative and quantitative data iteratively and dialectically during analysis. The necessity to pursue dissonance that often arises from integrating qualitative and quantitative results is one signal of the complexity of the examples reviewed. The examples support the argument that a visual display that integrates data from different sources iteratively and dialectically is an analytical strategy unique to mixed methods.

scholarly journals Crossover Mixed Analysis in a Convergent Mixed Methods Design Used to Investigate Clinical Dialogues About Cancer Treatment in the Japanese Context

2018 ◽  
Vol 14 (1) ◽  
pp. 84-109 ◽  
Author(s):  
Taichi Hatta ◽  
Keiichi Narita ◽  
Kazuhiro Yanagihara ◽  
Hiroshi Ishiguro ◽  
Toshinori Murayama ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Research Strategy ◽  
Mixed Methods Design ◽  
Qualitative And Quantitative ◽  
Mixed Analysis ◽  
Deductive Method ◽  
Final Interpretation ◽  
Quantitative Results ◽  
Motivation To Participate

The convergent mixed methods design is a common mixed methods research strategy; however, a challenge arises when data are collected concurrently but not analyzed completely independently due to overlapping research aims or certain styles of reasoning. The aims of this study were to (1) implement a crossover-tracks analysis in a convergent design wherein qualitative and quantitative strands were intertwined and informed each other and (2) examine a working hypothesis about the relationship between temporal change in clinical dialogues to examine the strength of patients’ motivation to participate in a clinical consultation. Using hypothetico-deductive method, the dynamic analytical approach shifted between inductive and deductive approaches. The qualitative and quantitative results were merged, and a joint-display depicted the relation for the final interpretation.

scholarly journals A framework for identifying and learning from countries that demonstrated exemplary performance in improving health outcomes and systems

2020 ◽  
Vol 5 (12) ◽  
pp. e002938
Author(s):  
Austin Carter ◽  
Nadia Akseer ◽  
Kevin Ho ◽  
Oliver Rothschild ◽  
Niranjan Bose ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Global Health ◽  
Health Outcomes ◽  
Mixed Methods Research ◽  
Multidisciplinary Teams ◽  
Ongoing Research ◽  
Qualitative And Quantitative ◽  
Success Stories ◽  
Quantitative Analyses ◽  
Comprehensive Framework

This paper introduces a framework for conducting and disseminating mixed methods research on positive outlier countries that successfully improved their health outcomes and systems. We provide guidance on identifying exemplar countries, assembling multidisciplinary teams, collecting and synthesising pre-existing evidence, undertaking qualitative and quantitative analyses, and preparing dissemination products for various target audiences. Through a range of ongoing research studies, we illustrate application of each step of the framework while highlighting key considerations and lessons learnt. We hope uptake of this comprehensive framework by diverse stakeholders will increase the availability and utilisation of rigorous and comparable insights from global health success stories.

Qualitative and quantitative methodologies in comparative research: An integrated approach?

2010 ◽  
pp. 19-34
Author(s):  
Graham Scambler
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Comparative Research ◽  
Mixed Methods Research ◽  
Integrated Approach ◽  
Research Strategies ◽  
Qualitative And Quantitative ◽  
Critical Realist ◽  
Deductive Research ◽  
Theoretical Dimension

This paper starts by characterizing conventional notions of quantitative ‘versus' qualitative research and considers their potential displacement by ‘mixed-methods' research. The claim that mixed-methods research is necessarily an advance on its predecessors is critiqued. Using a critical realist approach favouring retroductive and abductive rather than inductive and deductive research strategies, it is suggested that the theoretical dimension implicit in all research is too often neglected. It is further contended that ‘making a case' empirically amounts to much the same things as ‘making a case' theoretically. More ‘metareflection' is commended. Brief references is made to the literature on health inequalities to add some flesh to the bones of the argument.

Creating and Implementing a Mixed Method Research Study

2020 ◽  
pp. 604-613
Author(s):  
Mette L. Baran ◽  
Janice E. Jones
Keyword(s):  
Mixed Methods ◽  
Mixed Method ◽  
Mixed Methods Research ◽  
Research Study ◽  
Research Question ◽  
Final Report ◽  
Mixed Method Research ◽  
Research Project ◽  
Conducting Research ◽  
Core Characteristics

This chapter serves as a guideline for outlining the core characteristics of mixed methods research (MMR) and the various steps researchers undertake in order to conduct a research study. The purpose is to create a worksheet assisting the researcher step by step from beginning to end following the seven steps to conducting research. While the focus is on MMR the steps are similar for any type of research methodology. It is important to note that MMR is not a limiting form of research. Researchers need a MMR question and a mixed methods purpose statement for the research project. This chapter will also help explain why mixed method research is one of the best approaches in answering a research question. Finally, the chapter includes a suggestion to the importance of adding a visual diagram of the MMR into the research project and into the final report.

Studying Non-Democratic Regional Organizations: Methodological Issues

2019 ◽  
pp. 66-75
Author(s):  
Anastassia V. Obydenkova ◽  
Alexander Libman
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
World Wide ◽  
Research Question ◽  
Theoretical Concept ◽  
Research Strategy ◽  
Regional Organizations ◽  
Large N ◽  
The World ◽  
Small N

The chapter describes the methodology of this book’s analysis. In particular, it presents details on our mixed methods research strategy and how the insights from the small-N studies contribute to the large-N research. In particular, it describes the benefits of using a concurrent instead of a sequential research design for our research question; it shows how we integrate the findings from the world-wide (large-N) analysis with the analysis of three regional organizations in post-Soviet Eurasia (combining large-N and small-N approaches). It also shows how the theoretical concept of non-democratic regional organizations can be operationalized empirically and presents details on the data that are used.

Creating and Implementing a Mixed Method Research Study

2016 ◽  
pp. 293-302
Author(s):  
Mette L. Baran ◽  
Janice E. Jones
Keyword(s):  
Mixed Methods ◽  
Mixed Method ◽  
Mixed Methods Research ◽  
Research Study ◽  
Research Question ◽  
Final Report ◽  
Mixed Method Research ◽  
Research Project ◽  
Conducting Research ◽  
Core Characteristics

This chapter serves as a guideline for outlining the core characteristics of mixed methods research (MMR) and the various steps researchers undertake in order to conduct a research study. The purpose is to create a worksheet assisting the researcher step by step from beginning to end following the seven steps to conducting research. While the focus is on MMR the steps are similar for any type of research methodology. It is important to note that MMR is not a limiting form of research. Researchers need a MMR question and a mixed methods purpose statement for the research project. This chapter will also help explain why mixed method research is one of the best approaches in answering a research question. Finally, the chapter includes a suggestion to the importance of adding a visual diagram of the MMR into the research project and into the final report.

Construct the Logic Model and Research Design (Step 3)

2019 ◽  
pp. 81-88
Author(s):  
Edmund M. Ricci ◽  
Ernesto A. Pretto ◽  
Knut Ole Sundnes
Keyword(s):  
Mixed Methods ◽  
Research Design ◽  
Mixed Method ◽  
Disaster Response ◽  
Mixed Methods Research ◽  
Research Question ◽  
Logic Model ◽  
Data Set ◽  
Evaluation Team ◽  
Mixed Method Design

A ‘mixed-methods’ research design, based upon the categories contained in a disaster response logic model, is suggested as the best approach to capture the complexities of the medical and public health disaster response experience. A mixed-methods design allows the evaluation team to collect and combine data from direct observation, medical records, interviews with victims, health professionals, family and friends of victims, public safety officials, other government and non-governmental officials and from public documents. Validation in a mixed-method design is based upon the concept of triangulation. The term triangulation is used in behavioral research to describe the process of obtaining data from three or more different sources and then comparing the findings to assess consistency across sources. In this design, both qualitative and quantitative data are collected and then merged during the analysis phase. Each data set is used to validate and enhance the other in order to improve the validity of the conclusions reached and the recommendations that follow. However, not all data need be combined. The mixed-method design allows for the analysis of certain types of data separately and then applied to the appropriate research question because there may be no appropriate comparative data.

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