Intersectionality as an Analytic Sensibility in Cultural Research

2021 ◽  
pp. 389-409
Author(s):  
Kevin Delucio ◽  
Adrian J. Villicana
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Research Process ◽  
Psychological Research ◽  
Complete Picture ◽  
Marginalized Populations ◽  
Cultural Research

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.

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
Keyword(s):  
Developing Countries ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Field Research ◽  
Research Process ◽  
Cultural Factors ◽  
Turn Of The Century ◽  
Research Experience ◽  
Design And Implementation ◽  
The Caribbean

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.

Poetry and Mixed Methods Research

2020 ◽  
Vol 12 (2) ◽  
pp. 153-165
Author(s):  
Mandy M. Archibald ◽  
Anthony J. Onwuegbuzie
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Meaning Making ◽  
Research Process ◽  
Data Sets ◽  
Hermeneutic Circle ◽  
Arts Based Research ◽  
Research Designs ◽  
Human Creativity ◽  
Poetic Representation

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.”

Qualitative, Quantitative, and Mixed Methods Research Sampling Strategies

Education ◽  
2020 ◽  
Author(s):  
Timothy C. Guetterman
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Research ◽  
Target Population ◽  
Research Process ◽  
Sampling Strategies ◽  
Quantitative And Qualitative Research ◽  
Purposeful Sampling ◽  
Relationship Of

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.

Visualizing Dynamic Fully Integrated Mixed Method Designs

2020 ◽  
pp. 65-77
Author(s):  
Elizabeth G. Creamer
Keyword(s):  
Mixed Methods ◽  
Mixed Method ◽  
Mixed Methods Research ◽  
Research Team ◽  
Interdisciplinary Team ◽  
Research Process ◽  
Fully Integrated ◽  
Conventional Practice

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.

A Sociologist's Field Notes to the Mass Observation Archive: A Consideration of the Challenges of ‘re-Using’ Mass Observation Data in a Longitudinal Mixed-Methods Study

2014 ◽  
Vol 19 (3) ◽  
pp. 147-160
Author(s):  
Rose Lindsey ◽  
Sarah Bulloch
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Research Council ◽  
Social Research ◽  
Social Science Research ◽  
Secondary Analysis ◽  
Secondary Data ◽  
Science Research ◽  
Research Process ◽  
Observation Data

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.

Integration of Narratives Into Mixed Methods Research: An Example From a Study on the Value of Social Support to Older People With Cancer

2021 ◽  
pp. 155868982110567
Author(s):  
Patty Doran ◽  
Sorrel Burden ◽  
Nick Shryane
Keyword(s):  
Quality Of Life ◽  
Mixed Methods ◽  
Older People ◽  
Emotional Support ◽  
Mixed Methods Research ◽  
Methodological Approach ◽  
Research Process ◽  
Narrative Approach ◽  
Living With Cancer

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.

The Prevalence of Philosophical Assumptions Described in Mixed Methods Research in Education

2020 ◽  
pp. 155868982095821
Author(s):  
Adam Coates
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Research Process ◽  
Research Practice ◽  
Alternative Models ◽  
Research Education ◽  
Reporting Practices ◽  
Research In Education

Philosophical arguments are expected to provide the foundation of research and should be mentioned when reporting research. This study explores the presentation of philosophical assumptions in 1,026 mixed methods research (MMR) articles from the field of education. Eighty-one papers (7.9%) provided philosophical commitments, and 31 distinct stances were claimed. Philosophy was presented with different roles, including that philosophical stance can direct the decision to use mixed methods or result from that choice. This article contributes the field of MMR by highlighting an oversight in the reporting practices of the MMR community. Possible causes for the findings include weaknesses in research education and knowledge. Alternative models of the research process may be required to accurately match descriptions of research practice.

scholarly journals Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data

2017 ◽  
Vol 25 (3) ◽  
pp. 289-307 ◽  
Author(s):  
Imke Harbers ◽  
Matthew C. Ingram
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
The United States ◽  
Research Process ◽  
Dependent Data ◽  
Spatial Econometric ◽  
Large N ◽  
Selection For ◽  
Using Data ◽  
Nested Analysis

Mixed-methods designs, especially those where cases selected for small-N analysis (SNA) are nested within a large-N analysis (LNA), have become increasingly popular. Yet, since the LNA in this approach assumes that units are independently distributed, such designs are unable to account for spatial dependence, and dependence becomes a threat to inference, rather than an issue for empirical or theoretical investigation. This is unfortunate, since research in political science has recently drawn attention to diffusion and interconnectedness more broadly. In this paper we develop a framework for mixed-methods research with spatially dependent data—a framework we label “geo-nested analysis”—where insights gleaned at each step of the research process set the agenda for the next phase and where case selection for SNA is based on diagnostics of a spatial-econometric analysis. We illustrate our framework using data from a seminal study of homicides in the United States.

Researchers’ experiences and lessons learned from doing mixed-methods research with a population with intellectual disabilities: Insights from the SOPHIE study

2017 ◽  
Vol 23 (2) ◽  
pp. 250-265
Author(s):  
Deirdre Corby ◽  
Mary Rose Sweeney
Keyword(s):  
Mixed Methods ◽  
Intellectual Disabilities ◽  
Mixed Methods Research ◽  
Research Team ◽  
Research Process ◽  
Lessons Learned ◽  
Team Members ◽  
Recruitment Methods ◽  
Phone Calls ◽  
Good Quality Research

Researchers are challenged to provide opportunities for people with intellectual disabilities (IDs) and their families to become participants in research. This article explores the processes and procedures involved in conducting a mixed-methods study. The preparation for the study is described and explained. Recruitment is examined by describing the process and analysing phone calls made to potential participants. Reflections of research team members help to develop the analysis and contribute to a discussion of the fieldwork. Lessons learned show that research projects involving people with IDs and their families need careful planning and have additional costs. The research team requires a mix of expertise. Traditional recruitment methods may not be suitable, and researchers need to build good relationships with gatekeepers so that participants can be contacted directly. Good quality research with people with IDs and their families is possible once suitable strategies are employed throughout the research process.

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