Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciencesby TEDDLIE, CHARLES, & ABBAS TASHAKKORI

2011 ◽  
Vol 95 (1) ◽  
pp. 152-153
Author(s):  
PAMELA M. WESELY
2008 ◽  
Vol 29 (11) ◽  
pp. 1543-1566 ◽  
Author(s):  
Vicki L. Plano Clark ◽  
Catherine A. Huddleston-Casas ◽  
Susan L. Churchill ◽  
Denise O'Neil Green ◽  
Amanda L. Garrett

The complex phenomena of interest to family scientists require the use of quantitative and qualitative approaches. Researchers across the social sciences are now turning to mixed methods designs that combine these two approaches. Mixed methods research has great promise for addressing family science topics, but only if researchers understand the design options and procedures that accompany this methodological choice. Discussions of mixed methods in the family science literature are difficult to locate, and little has been written about how family scientists apply this approach in practice. This article presents an overview of mixed methods research, including its definition, terminology, and design types, and examines how it is being successfully used and reported in family research journals. The authors review the application of mixed methods designs in 19 studies and discuss design features and issues that arose during implementation. They conclude with recommendations for family scientists considering using this approach.


2020 ◽  
pp. 95-121
Author(s):  
Amir Manzoor

Mixed methods research is becoming an increasingly popular approach in the discipline fields of sociology, psychology, education and health sciences. Calls for the integration of quantitative and qualitative research methods have been advanced in these fields. A key feature of mixed methods research is its methodological pluralism, which frequently results in research which provides broader perspectives than those offered by mono-method designs. The central premise of mixed methods is that the use of quantitative and qualitative approaches in combination provides a better understanding of research problems and complex phenomena than either approach alone. The purpose of this chapter is to review designs of mixed methods research. The study surveys the common designs of mixed methods research and examine the main characteristics of each in terms of purposes, strengths, and issues, and posits suggestions on the application of these designs.


Author(s):  
Amir Manzoor

Mixed methods research is becoming an increasingly popular approach in the discipline fields of sociology, psychology, education and health sciences. Calls for the integration of quantitative and qualitative research methods have been advanced in these fields. A key feature of mixed methods research is its methodological pluralism, which frequently results in research which provides broader perspectives than those offered by mono-method designs. The central premise of mixed methods is that the use of quantitative and qualitative approaches in combination provides a better understanding of research problems and complex phenomena than either approach alone. The purpose of this chapter is to review designs of mixed methods research. The study surveys the common designs of mixed methods research and examine the main characteristics of each in terms of purposes, strengths, and issues, and posits suggestions on the application of these designs.


Author(s):  
Manfredi Valeriani ◽  
Vicki L. Plano Clark

This chapter examines mixed-methods research, which is an approach that involves the integration of quantitative and qualitative methods at one or more stages of a research study. The central idea behind mixed-methods research is that the intentional combination of numeric-based methods with narrative-based methods can best provide answers to some research questions. The ongoing attempts to construct a simple and common conceptualization of mixed-methods provide a good indicator of the status of mixed-methods itself. mixed-methods research has emerged as a formalized methodology well suited to addressing complex problems, and is currently applied throughout the social sciences and beyond. Nowadays, researchers interested in combining quantitative and qualitative methods can benefit from the growing knowledge about the epistemological foundations, essential considerations, and rigorous designs that have been advanced for mixed-methods research.


Author(s):  
Amir Manzoor

Mixed methods research is becoming an increasingly popular approach in the discipline fields of sociology, psychology, education and health sciences. Calls for the integration of quantitative and qualitative research methods have been advanced in these fields. A key feature of mixed methods research is its methodological pluralism, which frequently results in research which provides broader perspectives than those offered by mono-method designs. The central premise of mixed methods is that the use of quantitative and qualitative approaches in combination provides a better understanding of research problems and complex phenomena than either approach alone. The purpose of this chapter is to review designs of mixed methods research. The study surveys the common designs of mixed methods research and examine the main characteristics of each in terms of purposes, strengths, and issues, and posits suggestions on the application of these designs.


2020 ◽  
Vol 19 (03) ◽  
pp. 2050016
Author(s):  
Patrick Ngulube

The purpose of this article is to investigate the adoption and utilisation of mixed methods research (MMR) in an emerging field, such as knowledge management (KM). Methodologies used by researchers have a bearing on the reliability and validity of the knowledge they produce. There is need to explore the prevalence in use of various methodologies over time. Such studies provide researchers time to reflect on their research practices. It is important to reflect on how researchers are adopting and utilising MMR approaches and what can be done to improve methodological approaches in research. A qualitative content analysis of articles from five leading KM-centric journals published between 2009 and 2014 was conducted for the research purpose. Our findings contribute to a better understanding of the utilisation of MMR in KM and provide guidance for those seeking to learn about and apply MMR approaches in research in context. Only 1.1% of the studies were classified as representing some form of MMR. Of the eight articles that were sampled, five of them did not explicitly identify themselves as MMR studies. Two of the articles did not give reasons for combining quantitative and qualitative approaches. None of the studies that were examined identified the MMR approach that was employed. Four of the MMR studies were exploratory, three were explanatory and one was convergent. All the articles were partially mixed studies. Few researchers indicated how they prioritised qualitative and quantitative strands. A handful of sampled studies used MMR and employed basic design typologies in contrast to complex typologies. It is recommended that KM research should embrace MMR and use complex design typologies in order to enhance their understanding of the complex problems that KM scholars encounter. Methodological pluralism has the potential of contributing to the growth in knowledge and development of many perspectives in the field: an appreciation of the advantages of using MMR and its potential to provide a holistic, innovative and robust perspective of research phenomena. The selection criteria in this study excluded other journals that cover KM research. Further research may uncover whether the prevalence rates reported in this study are consistent with those journals which were excluded in this study. Methodologies used by researchers for different kinds of research may be different. The research method employed in this study does not have the ability to establish that. Future studies may employ interviews and other data collection techniques in order to triangulate methods to determine why MMR was not prevalent. The future research directions should consider the extent to which personal, interpersonal and social contexts influence researchers to use MMR.


2016 ◽  
Vol 13 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Emma Uprichard ◽  
Leila Dawney

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.


2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Manuel Köster ◽  
Holger Thünemann

Despite some pioneering studies, mixed-methods research approaches are uncommon in the German history education community, in contrast to the general increase in mixed-methods research in the educational and social sciences. Conversely, German history education research currently appears to favour quantitative methods as opposed to qualitative approaches – at least in larger research projects. In this paper, we argue for a more inclusive research approach combining qualitative and quantitative methods. Discussion of a pioneering study from the 1980s (Jeismann et al ., 1987) highlights implementation of this unusual approach to history education research in Germany. To illuminate the added value of such a mixed-methods research approach, we discuss two published German studies that respectively rely on quantitative (Trautwein et al ., 2017) and qualitative (Köster, 2013) research methods. A mixed-methods approach might have illuminated each study's 'blind spots'.


2020 ◽  
Vol 44 (1) ◽  
pp. 244-268 ◽  
Author(s):  
Dominik E. Froehlich ◽  
Sara Van Waes ◽  
Hannah Schäfer

Social network analysis (SNA) is becoming a prevalent method in education research and practice. But criticism has been voiced against the heavy reliance on quantification within SNA. Recent work suggests combining quantitative and qualitative approaches in SNA—mixed methods social network analysis (MMSNA)—as a remedy. MMSNA is helpful for addressing research questions related to the formal or structural side of relationships and networks, but it also attends to more qualitative questions such as the meaning of interactions or the variability of social relationships. In this chapter, we describe how researchers have applied and presented MMSNA in publications from the perspective of general mixed methods research. Based on a systematic review, we summarize the different applications within the field of education and learning research, point to potential shortcomings of the methods and its presentation, and develop an agenda to support researchers in conducting future MMSNA research.


Sign in / Sign up

Export Citation Format

Share Document