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Essay / Research Paper Abstract
A 5 page paper reviewing the data presentation of a journal article and making suggestions for improvement for clarity and visual attractiveness. Data presentation does not serve only those seeking to replicate the study, of course. Presented data provides support and credibility for the results of the study as they are discussed by the researcher, and lend support for the researcher’s conclusions drawn as results of the study. The purpose here is to review and analyze data presentation in “Mortality from infective endocarditis: clinical predictors of outcome,” published in the July 2002 issue of Heart. Bibliography lists 3 sources.
Page Count:
5 pages (~225 words per page)
File: CC6_KSresArtRevHeart.rtf
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Unformatted sample text from the term paper:
quantitative research is that it should be replicatable given the same conditions and environment in which an original study is completed. If other researchers are to be able to
replicate any specific study and then compare their findings with those of the original study, then collected data and means of statistical and mathematical manipulation need to be furnished.
Data presentation does not serve only those seeking to replicate the study, of course. Presented data provides support and credibility for the results
of the study as they are discussed by the researcher, and lend support for the researchers conclusions drawn as results of the study. The purpose here is to review
and analyze data presentation in "Mortality from infective endocarditis: clinical predictors of outcome," published in the July 2002 issue of Heart. The Study
Wallace, Walton, Kharbanda, Hardy, Wilson and Swanton (2002) studied characteristics and measured physical values of 208 patients admitted to a teaching hospital with infective endocarditis. The objective of the
study was to "identify clinical markers available within the first 48 hours of admission that are associated with poor outcome in infective endocarditis" (Wallace, et al., 2002; p. 53).
The researchers found that "abnormal white cell count, serum albumin concentration, serum creatinine concentration ... cardiac rhythm" (Wallace, et al., 2002; p. 53) and
other measurements were associated with poor prognosis. They conclude that "simple clinical indices, which are readily available, are reliable, cheap, and potentially powerful predictors of poor outcome" (Wallace, et
al., 2002; p. 53). Data Presentation One author muses that tabular presentation of data has "become the Cinderella method of data presentation" (Informative
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