These two are by far not the only branches within epistemology. Within epistemology there are several approaches and branches, such as for example positivism and interpretivism. With this simple example, it becomes clear how your interpretation of knowledge will influence your choice of methodology and methods, and will also impact your data analysis. Whilst intuitive knowledge stems from beliefs and faith, empirical knowledge is related to anything that can be objectively described and proven. Knowledge can be seen as empirical or intuitive, for example. In research terms your view of the world and of knowledge strongly influences your interpretation of data and therefore your philosophical standpoint should be made clear from the beginning. In simple terms, epistemology is the theory of knowledge and deals with how knowledge is gathered and from which sources. The way you go about collecting and interpreting data is strongly influenced by how you interpret knowledge and truth. However, this was only part of the story of choosing a research framework. In one of my earlier posts I talked about methodology and methods. Source: adapted from Gray (2014) and O’Gorman and MacIntosh (2015)
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