Here is the synopsis of our sample research paper on Critical Review: Research About Shoplifting. Have the paper e-mailed to you 24/7/365.
Essay / Research Paper Abstract
3 pages in length. The writer provides a brief critique of shoplifting research. No bibliography.
Page Count:
3 pages (~225 words per page)
File: LM1_TLCshoplift.rtf
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Unformatted sample text from the term paper:
is redundant and the train of thought scattered. Purpose of the research falls into the same trap by making erroneous statements pertaining to previous studies in other retail merchants
that do not have any bearing on the authors and therefore is worthless. Previous findings on a given subject are worthwhile as a baseline of information upon which to
compare subsequent research; as such, the author was too hasty in dismissing the other studies as irrelevant. The choice of methods are indeed
suitable given that the author utilized what has become a most popular approach of mixed methodology. In order to glean the most effective data pertaining to ones objective, it
is critical to choose the most appropriate methodology. Ever since the concept of scientific research has existed, there has been a clear understanding that one - and only one
- type of method was used for any given study; to veer off this convention track and incorporate more than one approach was to cast a shadow of doubt upon
the ultimate findings and brand the researcher unfit to uphold the title. Times have changed to such an extent in the twenty-first century that not only is a mixed
method approach acceptable over and above the singular use of a quantitative application, but it is fast becoming the methodology of choice by any researcher worth his or her reputation.
The research data is neither reliable nor valid. Credible research is conducted with a large respondent pool based upon specific demographics in order to ascertain as unbiased a result
as possible. That only ten people were used to represent a sample population and only one was tracked through observations illustrates a severe shortage of scientific data for the
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