scholarly journals Mixed Methods Research in Developing Country Contexts: Lessons From Field Research in Six Countries Across Africa and the Caribbean

2021 ◽  
pp. 155868982110328
Author(s):  
Jamelia Harris

Mixed methods research in developing countries has been increasing since the turn of the century. Given this, there is need to consolidate insights for future researchers. This article contributes to the methodological literature by exploring how cultural factors and logistical challenges in developing contexts interplay with mixed methods research design and implementation. Insights are based on the author’s research experience of using mixed methods in six projects across three African and three Caribbean countries. Three lessons are provided to aid researchers using mixed methods working in developing countries. First, cultural factors call for more reflexivity. Second, adopting a pragmatic research paradigm is necessary. And third, the research process should be iterative and adaptive.

2020 ◽  
Vol 12 (2) ◽  
pp. 153-165
Author(s):  
Mandy M. Archibald ◽  
Anthony J. Onwuegbuzie

Integration—or the meaningful bringing together of different data sets, sampling strategies, research designs, analytic procedures, inferences, or the like—is considered by many to be the hallmark characteristic of mixed methods research. Poetry, with its innate capacity for leveraging human creativity, and like arts-based research more generally, which can provide holistic and complexity-based perspectives through various approaches to data collection, analysis, and representation, can offer something of interest to dialogue on integration in mixed methods research. Therefore, in this editorial, we discuss and promote the use of poetry in mixed methods research. We contend that the complexities and mean-making parallelisms between poetry and mixed methods research render them relevant partners in a quest to complete the hermeneutic circle whose origin represents experiences, phenomena, information, and/or the like. We advance the notion that including poetic representation facilitates the mixed methods research process as a dynamic, iterative, interactive, synergistic, integrative, holistic, embodied, creative, artistic, and transformational meaning-making process that opens up a new epistemological, theoretical, and methodological space. We refer to this as the fourth space, where the quantitative, qualitative, mixed methods, and poetic research traditions intersect to enable different and deeper levels of meaning making to occur. We end our editorial with a poetic representation driven by a word count analysis of our editorial and that synthesizes our thoughts regarding the intersection of poetry and mixed methods research within this fourth space—a representation that we have entitled, “Dear Article.”


2021 ◽  
pp. 389-409
Author(s):  
Kevin Delucio ◽  
Adrian J. Villicana

Intersectionality is gaining popularity as a lens through which the experiences of marginalized populations can be considered. However, in regards to cultural research, how can an intersectional sensibility be implemented to ensure the complete picture of a given phenomenon is captured? The purpose of this chapter is to understand how to engage intersectionality as a lens to conceptualize the cultural research process. How intersectionality can be framed as an analytic sensibility in psychological research is first examined. Then an ecological conceptualization of culture is highlighted that incorporates tenets of intersectionality, and an exploration is presented of how intersectionality disrupts dominant ideas within cultural research processes and methodologies. The chapter concludes by detailing how quantitative, qualitative, and mixed-methods research can reflect intersectionality as an analytic sensibility when aiming to conduct cultural research.


Author(s):  
Timothy C. Guetterman

Sampling is a critical, often overlooked aspect of the research process. The importance of sampling extends to the ability to draw accurate inferences, and it is an integral part of qualitative guidelines across research methods. Sampling considerations are important in quantitative and qualitative research when considering a target population and when drawing a sample that will either allow us to generalize (i.e., quantitatively) or go into sufficient depth (i.e., qualitatively). While quantitative research is generally concerned with probability-based approaches, qualitative research typically uses nonprobability purposeful sampling approaches. Scholars generally focus on two major sampling topics: sampling strategies and sample sizes. Or simply, researchers should think about who to include and how many; both of these concerns are key. Mixed methods studies have both qualitative and quantitative sampling considerations. However, mixed methods studies also have unique considerations based on the relationship of quantitative and qualitative research within the study.


Author(s):  
Elizabeth G. Creamer

There are few models that embody ways to visualize the interactive and often dialectical interplay evident in methodologically complex, integrated mixed methods research especially when it involves collaborators or a research team. This methodological article informs both teaching and practice by highlighting 3 diverse examples of dynamic procedural diagrams that foreground integration. The models depart from the conventional practice of using a figure with a static, linear orientation to one that embodies fluidity within and across phases of the research process. The models contribute to the methodological literature by extending thinking about procedural diagrams during reporting to include the dynamics of an interdisciplinary team and/or other collaborators.


2020 ◽  
Vol 12 (21) ◽  
pp. 9264
Author(s):  
Hendrys Tobar-Muñoz ◽  
Juan G. Cárcamo ◽  
Henner Solarte ◽  
Christiam Ventes ◽  
Jorge H. Mesa

Innovation is quite important for economies and entrepreneurs around the world, especially for developing countries such as Colombia, where this study was based. Therefore, education for innovation becomes as important, and newer and innovative educational means must be adjusted for developing skills in innovation and entrepreneurship. Innovator’s DNA is a framework of skills that are meant to be developed by innovators. This framework proposes five discovery skills, which are: observing, associating, experimenting, networking, and questioning. This paper studied whether and how videogames can develop innovators’ skills in students of entrepreneurship and innovation in online-learning environments, by directly observing the participation of 23 participants during an interaction with a game specifically tailored for fostering these skills. The videogame used is called CAFET, and it consists of a card-based game where players enact coffee industry entrepreneurs in Colombia. A mixed-methods research was carried out by coding each observable action conducted by the participants and interviewing them about their behaviors. Results showed that participants enact actions that may involve and develop innovator’s DNA skills, specifically observing, associating, and experimenting. This study analyzed how videogames can develop innovation skills and explains the behaviors observed among other insights.


2014 ◽  
Vol 19 (3) ◽  
pp. 147-160
Author(s):  
Rose Lindsey ◽  
Sarah Bulloch

This paper explores the challenges arising from the ‘re-use’ of Mass Observation Project (MOP) writing (1981 to present day) encountered by the authors when setting up an Economic and Social Research Council (ESRC) funded, longitudinal, mixed-methods research project on civic engagement. The paper begins with a brief review of the present UK social science research environment, highlighting the evidence for an increasing Research Council focus on interdisciplinary research and secondary analysis/re-use of data. It argues that this shift in focus gives rise to unique methodological challenges such as those encountered by the authors in this project. After providing some background and context, the paper discusses different obstacles encountered in the course of setting up this project. These include difficulties in: communicating within and across disciplines; re-using data across disciplines; the use of metadata, and its role in choosing writers from a longitudinal secondary data source; choice of analytical tools and approaches; and the Mass Observation writer's role in the research process. By sharing these experiences, the paper seeks to enable potential users of the MOP to see the value of MOP as a source of longitudinal qualitative secondary data; appreciate its potential for use with other data sources and across different disciplines; and equip other researchers to meet some of the challenges that the longitudinal use of MOP writing throws up.


2021 ◽  
pp. 155868982110567
Author(s):  
Patty Doran ◽  
Sorrel Burden ◽  
Nick Shryane

While many advances have been made mixing other methodologies with mixed methods research (MMR), there are few examples of narrative MMR or detailed procedures for integrating the narrative approach into mixed methods studies. This article contributes to the MMR field an example of integrating narratives in MMR by applying a methodological approach that is shaped by stories. The example integrated findings from cancer narratives with survey data to explore emotional support and quality of life of older people living with cancer. Integration was achieved by, firstly, following a thread through the research phases, and secondly, by using joint displays to align findings. The narrative MMR methodology presented is a tool for putting stories at the center of the research process.


Author(s):  
Guo Chao Alex Peng ◽  
Fenio Annansingh

Mixed-methods research, which comprises both quantitative and qualitative components, is widely perceived as a means to resolve the inherent limitations of traditional single method designs and is thus expected to yield richer and more holistic findings. Despite such distinctive benefits and continuous advocacy from Information Systems (IS) researchers, the use of mixed-methods approaches in the IS field has not been high. This chapter discusses some of the key reasons that led to this low application rate of mixed-methods design in the IS field, ranging from misunderstanding the term with multiple-methods research to practical difficulties for design and implementation. Two previous IS studies are used as examples to illustrate the discussion. The chapter concludes by recommending that in order to apply mixed-methods design successfully, IS researchers need to plan and consider thoroughly how the quantitative and qualitative components (i.e. from data collection to data analysis to reporting of findings) can be genuinely integrated together and supplement one another, in relation to the predefined research questions and the specific research contexts.


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