Mixed Methods Flashcards
What is mixed methods research?
Mixed methods research is the type of research in which a researcher or team of researchers combines elements of qualitative and quantitative research approaches (e.g., use of qualitative and quantitative viewpoints, data collection, analysis, inference techniques) for the broad purposes of breadth and depth of understanding and corroboration (Johnson et al. 2007, p .123).
What is mixed methods in the broad (epistemological) sense?
Mixed methods in the broad epistemological sense aims at inviting multiple mental models or paradigms (e.g. research strategies with different underlying ontological, epistemological and methodological beliefs and assumptions) in the same inquiry space with the aim of generating a better understanding of the phenomena being studied (Green, 2007).
What is mixed methods in the narrow (technical) sense?
Mixed methods in the narrow technical sense aims at combining quantitative and qualitative data and methods, addressing the relative strengths and weaknesses of both research strategies for data collection and analysis.
What is the goal of mixed methods?
The goal of mixed methods is to create awareness of relatedness of quantitative and qualitative strategies/data/methods and attempts to break down the barriers between the two in order to come to a better understanding of the phenomena being studied.
According to Kanbur & Schaffer (2007), how do qualitative and quantitative research differ in terms of inference methodology?
Qualitative research often adapts an inductive research strategy, starting from contextual observations and empirical data to develop a theory, while quantitative research usually starts with a model/theory for gathering and interpreting the data.
According to Kanbur & Schaffer (2007), how do qualitative and quantitative research differ in terms of inference methodology?
Qualitative research often adapts an inductive research strategy, starting from contextual observations and empirical data to develop a theory. Quantitative research on the other hand usually starts with a model/theory on which data gathering and interpretation in based.
According to Kanbur & Schaffer (2007), how do qualitative and quantitative research differ in terms of population coverage?
Qualitative research is often focused on studying a specific context with a smaller ‘population’ coverage, while in quantitative studies it is often the case that broader populations are studied. However, this is not a hard condition and it is theoretically possible to do a qualitative study on (many) different populations, or a quantitative study on a very specific (smaller) population.
According to Kanbur & Schaffer (2007), how do qualitative and quantitative research differ in terms of type of information?
Qualitative research uses mainly non-numerical data types (open ended interviews, ethnographic data, ..) , while quantitative research is based on mainly numerical data types (surveys, statistical data, ..).
According to Kanbur & Schaffer (2007), how do qualitative and quantitative research differ in terms of disciplinary framework?
Qualitative research is situated in the broader social sciences framework, while quantitative research is often embedded in a neo-classical economics framework.
According to Kanbur & Schaffer (2007), how do qualitative and quantitative research differ in terms of research paradigm?
Qualitative research is mainly situated in the critical hermeneutics tradition and thus part of the constructivist paradigm, while quantitative research is mainly based on empiricism and thus part of the (post-) positivist paradigm.
