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Data collection methods for dissertation

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Published on February 25, by Shona McCombes. Revised on February 8, In your thesis or dissertation, you will have to discuss the methods you used to do your research. The methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of the research.
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Data Collection Methods

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Collecting data | Better Thesis

To address how to write a methodology, in the Methodology section of your dissertation you have to justify and explain your choice of methodologies employed in your research. You may consider whether or not someone else could easily replicate your study based on what you have included in this section and in the appendices. In this section you have to explain very clearly how you arrived at your findings and state clearly why they are reliable and how they answer your research questions or test the hypotheses on which your research was based. This will deal with the philosophy which underpins your research. You will set out the research paradigm here. While there are many different research philosophies you can adopt, three of the most popular are positivism, post-positivism and interpretivism. Each is suitable for a different sort of study, and each involves different assumptions about the world ontology , how we know that world epistemology and the nature of knowledge.
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How to Write Your Dissertation Methodology

At the most basic level, data are considered quantitative if they are numbers and qualitative if they are words. Qualitative data may also include photos, videos, audio recordings and other non-text data. Those who favor quantitative data claim that their data are hard, rigorous, credible and scientific.
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Research can be defined as systematic investigation that contributes to knowledge. In this process data collection has significant role. Data means information which helps researcher to achieve research objective. The quality of research largely depends on collected information. The more reliable data leads to more trustworthy research.
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