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Essay / Research Paper Abstract
This 5 page paper looks at the same issues concerning research and the way that the research can be interpreted. Based on research undertaken by the student way that the provision of reliability and validity is dealt with are discussed, including issues such as sample size, the determination of levels of confidence in the tests which were used to analyze the data. The bibliography cites 4 sources.
Page Count:
5 pages (~225 words per page)
File: TS14_TErelerror1.rtf
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Unformatted sample text from the term paper:
sure that the results obtained will be correct for the entire population, and that the same results may be gained if the research was undertaken again, meaning that it is
repeatable. In the case of assessing cars in terms of their weight and the miles per gallon that they will achieve it is necessary that the analysis can be seen
as both reliable and valid. These may be seen as challenges and may be present in the way that the research is undertaken; the research needs to be seen
as objective and without bias. The data that is collected is not subject to opinion as it is factual data concerning the weight of a vehicle and its fuel efficiency.
For the research to be seen as valid, and for it to be repeatable it is essential that the sample chosen for analysis is representative of the population as a
whole. There is the potential for bias in the way that the sample is chosen, in order to overcome this there is a system needed that will take out the
potential for bias with a specific sampling technique. The use of sampling was undertaken with a set sample pattern, selecting the vehicle on every 5th page, starting at page 40
of the book, this took away any potential for the researcher to try and use personal judgement. The size of the sampling also had to be considered, to make sure
that there was a data size sufficient to give reliable results. Here we needed to consider the potential of errors in the way that the data is analysed and resulted
drawn. The way that data is analysed may also lead to errors. When analyzing data it is common to use hypothesis testing, in order to give a degree of
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