Mixed methods research design is popular in many research settings because it offers a set of advantages as well as a flexibility that cannot be matched by other available methods. This method combines some of the features from both quantitative and qualitative research methods to create unique methods that can integrate many theoretical or conceptual frameworks. This analysis will use a case study form of a mixed methods approach from studies that were performed in different academic fields to illustrate this form of research. The case study approach is popular in various environments due to the fact that it has more flexibility to explore and explain complex social phenomenon that are difficult to account for in strict quantitative approaches. Furthermore, it also allows room for the social constructivist approach that allows participants some freedom to add information that is relevant to their particular perspective to be added to the data.
Case Study-Based Mixed Methods Approaches
Complex social phenomena can be difficult to study through rigid quantitative approaches. The quantitative approach is a research tool that is typically geared towards studying a narrow range of observable data with a limited set of factors to determine how different factors influence each other. However, from an exploratory perspective, such tools can be too narrowly-based to capture broad generalizations that might be at play in an organization for example. Since people are complex creatures in many regards, other research methods must be used to garner more generalized insights.
There are many qualitative research options are available to that can better handle the unstructured nature of exploratory research in the social sciences. For example, the narrative design can allow a person, or group of people, to tell their stories in a range of different ways. For example, some interviews can be completely unstructured and people can simply respond freely. However, if the research is looking to narrow down on certain factors, then the
Furthermore, in semi-structured or fully structured interview or survey research methods, data can often be collected by categorizing and coding answers and this data can then be integrated with quantitative methods, which then is considered a mixed methods approach.
For example, one study set out to try to understand the experience of a population of students who attended school on a part time basis. Since the researchers were attempting to better understand the experiences of students who work and also attend school at the same time. The researchers describe their selection of these methods as (O'Connor & Cordova, 2010):
"Because we wanted to understand the lives of these part-time students from their own perspectives, we used a modified phenomenological research approach. Used more frequently in nursing than education, phenomenology helps researchers explore experiences that cannot be captured quantitatively and helps to make sense of a phenomenon"
The study used a literature review to identify the relevant factors that then appear in the interview protocol.
Another study conducted in Europe sought to identify some of the best practices and relevant factors that have associated with corporate community involvement (CCI). Many companies are donating a significant portion of their revenues to charitable causes and there are significant research opportunities to help provide insights related to these investments. The researchers used a population of employees in a Dutch financial conglomerate that has been identified as a…
Porter (2007) decries the mismatch between education research and practice. He argues that much focus has been on the supply side, with little attention to the demand side. Education research is often concerned about aspects such as filling gaps in extant research, ensuring research rigour, and improving research methods. This problem is further compounded by inadequacies in the preparation of teachers for utilising education research. While the importance of
Quantitative vs. Qualitative Research According to Lopez-Alvarado (2017) and Muijs (n.d.), research design decisions are linked to ontology and epistemology. Ontology refers to the researcher’s beliefs about whether reality is absolute or contextual, universal or relative. Whether the researcher is a realist or a relativist determines research questions and designs, with an increased tendency for relativists to focus on phenomenological and qualitative methods and a realist to use quantitative methods. Muijs
Steps in Content Analysis: There are ten steps in content analysis including: (1) copying and reading the transcript and making notes where pertinent information is located: (2) reviewing notes and making a list of the various information types located; (3) reading the list and categorizing each item and providing a description for what information has been identified; (4) identification of whether the categories are potentially linked and then listing the
Justifying Research Methods and Design Insider threats are one of the primary sources of risk to an enterprise network and to intellectual property. For decades, the internet security realm has been rather narrowly focused on pre-empting insider threats by mean of sophisticated architecture and conventional login identification barriers. More recently, internet communications and technology (ICT) experts have taken an active position by using technological capacity to identify risk patterns, and
Experimental Research Methods in Business Experimental Research Methods The author provides a survey of the literature illustrating applied experimental research methods in cross-sections of business and organization types. The advantages and disadvantages of the experimental research methods are discussed for each of the examples provided which run the gamut from depression-era agricultural economics to research conducted for the National Science Institute. While the article focuses on business research methods, the range of
Consider how qualitative and quantitative research methods complement one another, and consider the role of mixed methods designs. Quantitative and qualitative social science study techniques have, for long, remained discrete, barely overlapping, spheres. But, of late, innovations have shed light on quantitative and qualitative techniques’ complementarity (Maxwell, 1998). Complementarily employing both methods offers broader understandings besides facilitating research findings’ confirmation or triangulation using different techniques, thus improving overall result validity and
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