Mixed Methods

2021 ◽  
pp. 169-174
Author(s):  
Manfredi Valeriani ◽  
Vicki L. Plano Clark
Keyword(s):  
Social Sciences ◽  
Mixed Methods ◽  
Qualitative Methods ◽  
Mixed Methods Research ◽  
Research Study ◽  
Central Idea ◽  
The Social ◽  
The Status ◽  
Research Questions ◽  
Quantitative And Qualitative Methods

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.

scholarly journals Social Science Methodologies for Studying Individuals' Responses in Human Issues in Horticulture Research

2000 ◽  
Vol 10 (1) ◽  
pp. 87-93 ◽  
Author(s):  
Candice A. Shoemaker ◽  
Paula Diane Relf ◽  
Virginia I. Lohr
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Qualitative Methods ◽  
The Social ◽  
The Common ◽  
Research Questions ◽  
Quantitative And Qualitative Methods

Many of the research questions that have been posed regarding the effects of plants on people can only be answered using methodologies from the social sciences. Lack of familiarity with these methods and their underlying concepts has limited the role that horticulturists have taken in this research. Horticulturists, because of their particular sensitivity to the various aspects of plants and the nature of the ways that people interact with plants, must be involved in this type of research to generate the information that is needed by horticultural industries. This paper reviews many of the common methods that have been used in research on human issues in horticulture and presents examples of studies that have been conducted using these techniques. Quantitative and qualitative methods are discussed.

scholarly journals Infection and Risk Perception of SARS-CoV-2 among Airport Workers: A Mixed Methods Study

2020 ◽  
Vol 17 (23) ◽  
pp. 9002
Author(s):  
Jeadran Malagón-Rojas ◽  
Eliana L. Parra B ◽  
Marcela Mercado
Keyword(s):  
Mixed Methods ◽  
Risk Perception ◽  
Qualitative Methods ◽  
Public Transport ◽  
Mixed Methods Research ◽  
Research Study ◽  
Health And Safety ◽  
Work Conditions ◽  
Mixed Methods Study ◽  
Quantitative And Qualitative Methods

This is a mixed-methods research study carried out on a cohort of airport workers during the SARS-CoV-2 pandemic. We used quantitative and qualitative methods to describe the infection and risk perception of SARS-CoV-2 in a cohort of workers at the International Airport El Dorado/Luis Carlos Galán Sarmiento in Bogotá, Colombia. An incidence of SARS-CoV-2 infection of 7.9% was found in the workers. A high perception of risk was associated with activities such as using public transport. Risk perception is strongly influenced by practices related to work conditions and environments. These findings could help us understand the pandemic’s dynamics and the conceptions of the risk of transmission to promote policies on health and safety in this group of workers.

scholarly journals Overcoming methodological dogmatism in social sciences: Triangulation, multimethod, and mixed methods

Sociologija ◽  
2021 ◽  
Vol 63 (1) ◽  
pp. 5-25
Author(s):  
Vladan Vidicki ◽  
Snezana Stojsin
Keyword(s):  
Social Sciences ◽  
Mixed Methods ◽  
Social Science ◽  
Qualitative Methods ◽  
Social Research ◽  
Research Problem ◽  
Quantitative Methodology ◽  
Qualitative And Quantitative ◽  
Quantitative And Qualitative Methods

For the longest time, quantitative and qualitative methods have been considered opposing and mutually exclusive categories within the methodology of social science. This is best showcased by the conflicts arising between the proponents of these differing approaches - conflicts that are often characterized by an air of methodological dogmatism. The term ?methodological dogmatism? refers to the conviction of researchers in the superiority of their own approach, while delegitimizing any other. The main purpose of this paper is to outline the contemporary theoretical possibities of overcoming said dogmatism, and the three most prevalent approaches (triangulation, multimethod and mixed methods) will be presented accordingly. The goal is to identify the continuity of the ideas referring to the integration of qualitative and quantitative methodology, as well as to highlight the characterstics, advantages and drawbacks of each method. The paper concludes that the choice of method should be based on the nature of the research problem at hand, and that the combining of methods can serve as a useful tool for understanding and encompassing the full complexity of phenomena which are at the heart of social research.

scholarly journals Advocating mixed-methods approaches in health research

2014 ◽  
Vol 4 (5) ◽  
pp. 417-422 ◽  
Author(s):  
H MacKenzie Bryers ◽  
E VanTeijlingen ◽  
E Pitchforth
Keyword(s):  
Mixed Methods ◽  
Qualitative Methods ◽  
Health Research ◽  
Mixed Methods Research ◽  
Quantitative And Qualitative Methods ◽  
Broad Overview ◽  
The Way

This methods paper provides researchers in Nepal with a broad overview of the practical and philosophical aspects of mixed-methods research.   The three authors have a wide-ranging expertise in planning and conducting mixed-methods studies.  The paper outlines the different paradigms or philosophies underlying quantitative and qualitative methods and some of the on-going debates about mixed-methods.   The paper further highlights a number of practical issues, such as (a) the particular mix and order of quantitative and qualitative methods; (b) the way of integrating methods from different philosophical stance; and (c) how to synthesise mixed-methods findings. DOI: http://dx.doi.org/10.3126/nje.v4i5.12018 Nepal Journal of Epidemiology 2014; 4(5):417-22

scholarly journals Use of various strategies of mixed methods research in organizational culture diagnosis

2018 ◽  
Vol 9 (3) ◽  
pp. 62-70
Author(s):  
S.A. Lipatov
Keyword(s):  
Organizational Culture ◽  
Mixed Methods ◽  
Qualitative Methods ◽  
Mixed Methods Research ◽  
Natural Phenomenon ◽  
Theoretical Justification ◽  
Relevant Result ◽  
Advantages And Disadvantages ◽  
Methodological Problems ◽  
Quantitative And Qualitative Methods

Differences between quantitative and qualitative methods at various levels are described. The advantages and disadvantages of these groups of methods are analyzed in relation to the process of studying the culture of the organization, it is concluded that the separate use of only one class of methods in the diagnosis of organizational culture can lead to the construction of an inadequate picture. The emergence of a strategy of “mixed methods” is quite natural phenomenon. However, the joint use of different methods in one study involves solving a number of methodological problems of their interrelation. We consider a variant of the theoretical justification that guides such studies, proposed by J. Green and her colleagues, based on which three strategies for mixing quantitative and qualitative methods in diagnosing the culture of an organization are described: triangulation, addition, and development. It is supposed that these strategies can be combined in the process of an organizational culture diagnosis in order to obtain a more complete, reliable and most relevant result.

scholarly journals Spatial Tools for Case Selection: Using LISA Statistics to Design Mixed-Methods Research

2019 ◽  
Vol 8 (4) ◽  
pp. 747-763
Author(s):  
Matthew C Ingram ◽  
Imke Harbers
Keyword(s):  
Social Sciences ◽  
Mixed Methods ◽  
Spatial Autocorrelation ◽  
Mixed Methods Research ◽  
Theory Development ◽  
Omitted Variables ◽  
Selection Strategies ◽  
Case Selection ◽  
The Social ◽  
Level Of Analysis

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.

scholarly journals Method Sequence and Dominance in Mixed Methods Research: A Case Study of the Social Acceptance of Wind Energy Literature

2019 ◽  
Vol 18 ◽  
pp. 160940691983437 ◽  
Author(s):  
Chad Walker ◽  
Jamie Baxter
Keyword(s):  
Mixed Methods ◽  
Wind Energy ◽  
Qualitative Methods ◽  
Mixed Methods Research ◽  
Quantitative Research ◽  
Social Acceptance ◽  
Assessment Model ◽  
Design Elements ◽  
The Social ◽  
History Of

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.

Qualitative Research Methods and Evidential Reasoning

2019 ◽  
Vol 49 (5) ◽  
pp. 385-412 ◽  
Author(s):  
Corrado Matta
Keyword(s):  
Social Sciences ◽  
Qualitative Research ◽  
Music Education ◽  
Qualitative Methods ◽  
Research Methods ◽  
Qualitative Research Methods ◽  
Evidential Reasoning ◽  
The Social ◽  
Quantitative And Qualitative Methods

This article discusses the concept of evidential reasoning in the context of qualitative research methods in the social sciences. A conceptualization of qualitative evidential reasoning is proposed. This conceptualization is based on the analysis of an example of qualitative methods applied to the study of music education. I argue that this conceptualization identifies specific and nontrivial conditions for qualitative evidential reasoning and, at the same time, supports the claim that there is no essential methodological separation regarding evidence between quantitative and qualitative methods.

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