Neurorehabilitation Statement of Research Philosophy: Having earned academic degrees with majors in measurements, instrumentation, automatic controls and in cybernetics, I have a philosophical vision of multidisciplinary and interdisciplinary approach to analyzing and resolving issues in many fields like mechanical systems, robotics and bioengineering. I am of the firm conviction that a multidisciplinary analysis and approach will remain the guiding principle and rational basis to modern research and teaching. As a graduate student, I worked on many research projects as experimental coordinator.
Research traditions or philosophies play this role: They tell us about the philosophical assumptions researchers have about the world and how to go about studying phenomena.
As a result, the research tradition you select will reflect your assumptions about the world, and will shape the decisions you make throughout the entire research process.
They make four key assumptions: Research philosophy four key assumptions have imposing sounding names, but they are understandable. When you design a research project indeed, when you design any project at allthere are certain kinds of things you take for granted, that is, assume.
You don't need to prove them or calculate them, you simply accept them as givens.
For instance, if you wish to study the psychological factors of obesity in America, you take it for granted that obesity is something real. We call this an ontological assumption, from the Greek word that means "reality.
This comes from the Greek word "episteme-" which means knowledge. Epistemological assumptions are about what can be known. You take it for granted that to learn about obesity would be a good thing, and that there are right and wrong ways to go about doing it.
This kind of assumption comes from the Greek word axioma, meaning something that is worthy and fitting. And finally, you take certain methods of learning about obesity for granted—you assume that there are some methods of inquiry that will be workable and others that will not.
These methodological assumptions are based on the previous three kinds of assumptions. How do we know what we should assume?
The answer to that is in the paradigm we choose to work within. In Track 2, we will focus on the two main paradigms in social science research.
There are others, but these two have stood the test of time since the days of Plato and Aristotle. They are logical positivism and interpretivism. We will take them one at a time. Positivism Logical Positivism Positivism is a philosophy that holds that empirical evidence obtained through the senses is the only firm foundation for knowledge.
Further, it insists that valid knowledge can only be assumed if all observers come up with essentially the same description of a thing. Last, it requires that these descriptions be uniform across all researchers or observers, which leads to the requirement that measurement is the royal road to knowledge.
Thus, positivism leads to the following four sets of assumptions: Ontological assumptions nature of reality:The Department of Philosophy at the Humboldt University has strengths in the following research areas: Classical German Philosophy, especially Kant, Early Modern Philosophy, especially Leibniz and Locke, Philosophy of Mind (Berlin School of Mind and Brain), Ancient Philosophy (Graduate School of Ancient Philosophy) and Analytic Metaphysics.
Research paradigm and philosophy is an important part of research methodology in order to collect data in effective and appropriate manner. According to Johnson and Christensen (), research paradigm is a perspective that is based on the set of shared assumptions, values, concepts and practices.
In other world, paradigm can be defined as a function [ ]. Proctor () considers that consistency between the aim of a research study, the research questions, the chosen methods, and the personal philosophy of the researcher is the essential.
13 2 research philosophy and qualitative interviews in this chapter: choosing a philosophy of research differences between positivist and naturalist–constructionist. Research Projects A New Justification for Ockham's Razor. Philosophy of science, statistics, and machine learning all recommend the selection of simple theories or models on the basis of empirical data, where simplicity has something to do with minimizing independent entities, principles, causes, or equational coefficients.
own research philosophy and, going back to our discussion of philosophies as a set of assumptions, the extremity of your views on these continua (Table ) and within para- digms (Figure ).