Simple apps for focus group research freer
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The use of random numbers, an alternative method also involves numbering of population members from 1 to N. Then, the sample size of N has to be determined by selecting numbers randomly. Lastly, samples are to be taken randomly from the box by choosing folded pieces of papers in a random manner. These pieces of papers are to be folded and mixed into a box. In this method you will have to number each member of population in a consequent manner, writing numbers in separate pieces of paper. The method of lottery is the most primitive and mechanical example of random sampling.
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There are two popular approaches that are aimed to minimize the relevance of bias in the process of random sampling selection: method of lottery and the use of random numbers. Other variations of random sampling include the following: However, application of these methods in practice can be quite difficult due to the need for the complete list of relevant population members and a large sample size. Many dissertation supervisors advice the choice of random sampling methods due to the representativeness of sample group and less room for researcher bias compared to non-random sampling techniques. This is because working with a large sample size is not easy and it can be a challenge to get a realistic sampling frame. It can be argued that this method is easy to understand in theory, but difficult to perform in practice. Ideally, the sample size of more than a few hundred is required in order to be able to apply simple random method in an appropriate manner. It has been stated that “the logic behind simple random sampling is that it removes bias from the selection procedure and should result in representative samples”. In simple random sampling each member of population is equally likely to be chosen as part of the sample. Nevertheless, sampling error persists with this method, similar to other sampling methods. This method is considered to be the most unbiased representation of population. It is also the most popular method for choosing a sample among population for a wide range of purposes. Simple random sampling (also referred to as random sampling or method of chances) is the purest and the most straightforward probability sampling strategy.