Characteristics of joint displays illustrating data integration in mixed‐methods nursing studies

2019 ◽  
Vol 76 (2) ◽  
pp. 676-686 ◽  
Author(s):  
Ahtisham Younas ◽  
Maria Pedersen ◽  
Angela Durante
Keyword(s):  
Mixed Methods ◽  
Data Integration

scholarly journals Stroke knowledge: Developing a framework for data integration in a sequential exploratory mixed method study

2020 ◽  
pp. 263208432097804
Author(s):  
Paulann Grech ◽  
Reuben Grech
Keyword(s):  
Mixed Methods ◽  
Data Integration ◽  
Mixed Method ◽  
Large Population ◽  
Mixed Methods Design ◽  
Research Problems ◽  
Problem Solvers ◽  
Stroke Knowledge ◽  
Method Approach ◽  
Research Endeavour

Mixed methods have emerged as potential problem solvers particularly where traditional mono-method approaches fail to deal with specific research problems. The integration of quantitative and qualitative data within mixed methods approaches is central and should be carefully planned and executed. It is equally important to choose an appropriate mixed methods design, that promises to answer the research questions posed at the start of the research endeavour. The authors used an exploratory sequential mixed method approach to explore stroke knowledge and educational needs in a large population. They present the development and use of a framework (matrix) to ensure comprehensive and transparent data integration in their study and may be used as a template for future studies.

scholarly journals Data Diffraction: Challenging Data Integration in Mixed Methods Research

2016 ◽  
Vol 13 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Emma Uprichard ◽  
Leila Dawney
Keyword(s):  
Mixed Methods ◽  
Data Integration ◽  
Mixed Methods Research ◽  
A Priori ◽  
The Social ◽  
Social Entity ◽  
Object Of Study

This article extends the debates relating to integration in mixed methods research. We challenge the a priori assumptions on which integration is assumed to be possible in the first place. More specifically, following Haraway and Barad, we argue that methods produce “cuts” which may or may not cohere and that “diffraction,” as an expanded approach to integration, has much to offer mixed methods research. Diffraction pays attention to the ways in which data produced through different methods can both splinter and interrupt the object of study. As such, it provides an explicit way of empirically capturing the mess and complexity intrinsic to the ontology of the social entity being studied.

Mixed Methods Research

2017 ◽  
Author(s):  
Daphne C. Watkins
Keyword(s):  
Social Work ◽  
Mixed Methods ◽  
Data Integration ◽  
Social Workers ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Social Work Research ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Single Study

Mixed methods research integrates both qualitative and quantitative methods into a single study to produce a more inclusive and expansive understanding of a topic. This article defines mixed methods in social work research, and discusses design notation, language, popular mixed methods designs, and data integration. Using mixed methods provides an opportunity for social workers to take advantage of the strengths of both qualitative and quantitative approaches and to offset their weaknesses. It is important that social workers engaged in mixed methods research maximize the interpretation of their findings and articulate the advantages of using mixed methods over qualitative or quantitative methods alone. Given the unique features of the profession, it is imperative that social workers carve out a distinctive mixed methods niche for social work researchers and practitioners.

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