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Essay / Research Paper Abstract
This 7 page paper answers a set of questions regarding survey methods and their relevant strengths in research. The paper starts by looking at the differences between surveys and census methods, probability and non probability sampling, stratified sampling critiques several different survey designs. The bibliography cites 6 sources.
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7 pages (~225 words per page)
File: TS14_TEsurvquest.doc
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Unformatted sample text from the term paper:
of the population being studied. In most research some form of sapling is used as it is not possible to survey the entire population. For example, if a firm is
considering introducing a new flavour snack they will want to test it to see if the target market are likely to both enjoy and buy it, but it would not
be viable to survey every potential buyer, it would be both costly and time consuming as well as difficult to identify every potential respondent. It is more efficient to select
a sample of people that are representative of the entire target market, as the result for the sample, if large enough, should reflect the views of the entire target population.
Census is where there is a survey of that entire population, for general market research, but there are certain circumstances where an the entire population needs to be surveyed, where
small minorities need to be identified and a count has to be 100% accurate, this is seen in national surveys as well as applications such as tax collection. It is
also suitable where there is small target population, for example, a small neighbourhood development, where the opinions of all local residents should be counted. Question 2 Probability v. non
probability sampling Probability sampling is a random sampling style, the basis of this is that the selection of each respondent is a matter of chance and that all respondents
will have an equal chance of being chosen, in many cases this can be a known probably of the respondent being selected. There are a number of sampling techniques that
fall into this category. These include simple random sampling, systematic sampling, stratified and cluster sampling. In total there are more than 30 probability sampling techniques (Malhotra, 1999). Random sampling is
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