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The main types of probability sampling methods are simple random sampling, stratified sampling, cluster sampling, multistage sampling, and systematic random sampling.The key benefit of probability sampling methods is that they guarantee that the sample chosen is representative of the population.These include simple random, systematic sampling, stratified and cluster.
The sampling strategy that you select in your dissertation should naturally flow from your chosen research design and research methods, as well as taking into account issues of research ethics.
To set the sampling strategy that you will use in your dissertation, you need to follow three steps: (a) understand the key terms and basic principles; (b) determine which sampling technique you will use to select the units that will make up your sample; and (c) consider the practicalities of choosing such a sampling strategy for your dissertation (e.g., what time you have available, what access you have, etc.).
Only probability sampling methods permit that kind of analysis.
Two of the main types of non-probability sampling methods are voluntary samples and convenience samples.
Similarly, the fact that each buyer in the sample had an equal chance of being selected is characteristic of a simple random sample, but it is not sufficient.
The sampling method in this problem used random sampling and gave each buyer an equal chance of being selected; but the sampling method was actually stratified random sampling.
Thus, all possible samples of size 400 did not have an equal chance of being selected; so this cannot be a simple random sample.
The fact that each buyer in the sample was randomly sampled is a necessary condition for a simple random sample, but it is not sufficient.
Non-probability sampling methods offer two potential advantages - convenience and cost.
The main disadvantage is that non-probability sampling methods do not allow you to estimate the extent to which sample statistics are likely to differ from population parameters.