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Essay / Research Paper Abstract
A 5 page paper which provides a step-by-step approach to conducting quantitative research analysis. Bibliography lists 5 sources.
Page Count:
5 pages (~225 words per page)
File: TG15_TGquant.rtf
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Unformatted sample text from the term paper:
(Reswick Vii). Although quantitative research has been associated primarily with physical and biomedical sciences, it is also a useful tool in the field of social sciences as well (Reswick
Vii). It is a straightforward research technique that involves the confirmation of "an already existing theory" (Huysamen 1). It is a linear progression, which makes charting the course
of quantitative research a relatively simple process that involves a statement of theory, and then proving the validity of the theory (Reswick Vii). Naturally, the first step involves the
identification of the topic to be researched (Williams Research and Paradigms). Usually, a scientific topic tends to be rather broad in scope, so the researcher must streamline it by
defining its key concepts (Williams Research and Paradigms). Then, the researcher must state the topic in the form of a question, to which the accumulated research offers a verifiable
answer (Williams Research and Paradigms). From there, a quantitative research framework is sketched, which is, essentially, an overview as to what type of research is to be conducted, and
what theories will be incorporated into the findings. Then, the step-by-step process of quantitative research begins. In 1969, statistician A.D. De Groot identified five major steps of quantitative
analysis, which has not varied over the years (Huysamen 1). First, is the formulation of a hypothesis (Reswick Vii). This is usually an inductive statement that is a
prediction of projected outcomes, based on the relationship between the topic variables (Overview of Nursing Research: Overview of the Research Process). The statement identifies exactly what is being studied,
and typically falls under two categories. One category is the supposition of a relationship between variables, i.e., if X values change, then Y values will also change (Overview of
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