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Research Methods for English and Literary Studies


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             Scientific Basis: Every research must have a scientific basis for it to be good. There must be clearly stated procedures with definite pathways of expected results. .
             Being Systematic: To be systematic, the research must follow a definite procedure such that any other researcher following the same approach would arrive at the results. This characteristic makes research a process of creating knowledge. Falsifiability: According to Karl Popper, (1963, cited by Hergenhahn, 1986), "what distinguishes a scientific theory from an unscientific one is the principle of refutability." This simply means that no research is set on concrete. One researcher might come up with a discovery which another researcher refutes or falsifies years later. This has been the tradition in scientific advancement. .
             Ethical Principles: A good research must follow the ethical principles outlined by the discipline or by anybody or agency that sees to the conduct of researches. This implies that the researcher, before he engages in any research, must try as much as possible to protect the participants from harm, obtain the consent of the participants, debrief the participants, ensure confidentiality and that the participants are not deceived. .
             Approaches to Research in English and Literary Studies .
             Survey.
             The survey research method is an approach that enables the researcher gather information or data from a large group of population. Survey research procedure can be established and achieved through two major means. The first is the interview method while the second is the questionnaire method. These are means by which the researcher asks questions about the beliefs, behaviours and attitudes of the respondents with the aim to succinctly describe the characteristics of the respondents and to generalise via extrapolation, such characteristics to the entire population. The design has the advantage of large sample and variable measurement and robust generalisability.


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