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Social Science Philosophy Behind Data Analysis With Special Reference to Philosophical Perception
Abstract
Philosophy is a science of knowledge, and it concentrates on epistemology, ontology, axiology, and methodology. However, researchers have understated the role of philosophy, even though it is very interwoven with research. This chapter is to position data analysis in philosophy and show its epistemological and ontological underpinnings using the philosophy of perception. The methods are a desk study, literature reviews, and lecture notes. Traditionally, the definition of knowledge is ‘justified true belief' (JTB). The JTB is placed in the context of empiricism, rationalism, and/or dualism. These are further linked to ontological materialism, idealism, and dualism. The chapter has tried to draw a relationship with perception's direct realism, indirect realism, and dualism respectively. In conclusion, knowledge is justified by good evidence (empiricism) and reason (rationalism). The chapter recommends researchers utilise the philosophy of the sciences in order to improve on their research.
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