Transforming the Campus Climate: Advancing Mixed-Methods Research on the Social and Cultural Roots of Sexual Assault on a College Campus

Voices ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. 23-54 ◽  
Author(s):  
Jennifer S. Hirsch ◽  
Leigh Reardon ◽  
Shamus Khan ◽  
John S. Santelli ◽  
Patrick A. Wilson ◽  
...  
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.


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.


10.18060/1858 ◽  
2013 ◽  
Vol 14 (2) ◽  
pp. 307-333 ◽  
Author(s):  
Josphine Chaumba

The complexity of social problems addressed by the social work profession makes mixed methods research an essential tool. This literature review examined common quantitative and qualitative techniques used by social work researchers and what mixed methods research may add to social work research. Surveys and in-depth interviews were the most common quantitative and qualitative data collection methods, respectively. The t-test was the most frequently used quantitative data analysis method. Although thematic analysis was the most common qualitative data analysis method, 12% of the qualitative data analysis techniques were not specified. Mixed methods research adds three important elements to social work research: voices of participants, comprehensive analyses of phenomena, and enhanced validity of findings. For these reasons, the teaching and use of mixed methods research remain integral to social work.


Author(s):  
Aroop Mukherjee ◽  
Nitty Hirawaty Kamarulzaman

Mixed methods have emerged as the third research community in the social and behavioural sciences during the past decades, joining quantitative and qualitative methods of scholarly inquiry. Mixed methods research, research paradigm, methodology, and action research have encouraged the combined use of quantitative and qualitative research to answer complex questions in recent years. Mixed methods research integrates both methods, the quantitative and the qualitative, to present research findings within a single system process. The chapter aims to provide an insight between mixed method research and action research, which includes the basic foundation of mixed method research and research paradigm. The chapter will discuss the concept of action research and how mixed method is applied to action research and its processes. A brief idea about the future plan of action required for mixed methods research to attain better research designs and processes is also discussed in the chapter.


2017 ◽  
Vol 37 (2) ◽  
pp. 183-201 ◽  
Author(s):  
Estelle Raimondo ◽  
Kathryn E. Newcomer

Although the methods wars that were entrenched in most of the social science disciplines well into the 1990s have purportedly ceased, methodological diversity remains rare in public administration. We suggest that the productive interaction between methods, theory, and praxis in the field of public administration requires further methodological integration. Through a review of articles published in Review of Public Personnel Administration ( ROPPA) since 2011, we show that the promise of mixed-methods design has not fully materialized. We explore avenues for implementing mixed-methods research designs that are particularly appropriate for examining the behavior and motivations of public service personnel by identifying examples of articles in ROPPA that used a single-method approach but could have usefully leveraged a diversity of methods to answer their primary research question. We then support our case for the use of integrated mixed-methods with a study of the institutionalization of a performance assessment system in an international organization.


2019 ◽  
Vol 8 (4) ◽  
pp. 747-763
Author(s):  
Matthew C Ingram ◽  
Imke Harbers

AbstractMixed-methods designs, especially those in which case selection is regression-based, have become popular across the social sciences. In this paper, we highlight why tools from spatial analysis—which have largely been overlooked in the mixed-methods literature—can be used for case selection and be particularly fruitful for theory development. We discuss two tools for integrating quantitative and qualitative analysis: (1) spatial autocorrelation in the outcome of interest; and (2) spatial autocorrelation in the residuals of a regression model. The case selection strategies presented here enable scholars to systematically use geography to learn more about their data and select cases that help identify scope conditions, evaluate the appropriate unit or level of analysis, examine causal mechanisms, and uncover previously omitted variables.


2019 ◽  
Vol 18 ◽  
pp. 160940691983437 ◽  
Author(s):  
Chad Walker ◽  
Jamie Baxter

As more researchers have considered the use of mixed methods, writings have moved away from debates about epistemological incompatibilities and now focus on the (potential) value of increased understanding that comes from combining qualitative and quantitative approaches. Yet, as the level of integration can vary substantially, some designs are said to allow one method or the other to dominate. Although there may be sound reasoning for intentionally allowing one method to dominate, here we investigate one literature as a moment to reflect why, and on the degree to which mixed methods sequence is so bound up with methodological dominance, that calling such studies “mixed” may seem misleading. Like the history of social science more generally, it is quantitative research that is typically given more weight in these studies and academics have noted a few reasons why this may be the case. Few have investigated how research design—and more specifically method sequence—may impact method dominance. Using an emerging mixed methods literature surrounding the social acceptance of wind energy ( N = 34), we study the relationship between the timing of each method (i.e., sequence) and method dominance to see whether qualitative methods in particular are marginalized. Through our Dominance in Mixed Methods Assessment model, we provide evidence that indeed qualitative methods are marginalized and this may be associated with method sequence and other design elements. Moreover, some authors focus solely on one method, giving pause to caution both writers and readers about the use of the term “mixed methods.” The analytical approach is detailed enough to be replicated and detect whether these patterns are repeated in other research domains.


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