What Systematic is
Systematic is a method of data collection that involves following a pre-defined sampling pattern. It is a type of probability sampling and is particularly useful when a researcher needs to select a large number of items from a population that is too large to sample in its entirety.
The steps for a systematic sampling plan are as follows:
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Define the population: The population is the total set of items from which the sample will be selected.
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Calculate the sampling interval: The sampling interval is the number of items between each selected item in the sample. It is calculated by dividing the population size by the desired sample size.
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Select the starting point: The starting point is the item in the population that will be the first item in the sample. This can be selected randomly or can be predetermined.
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Select the sample: Once the sampling interval and starting point have been determined, the sample can be selected by counting off items at regular intervals.
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Analyze the sample: Once the sample has been selected, it can then be analyzed to draw inferences about the population.
Examples
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Systematic sampling is a statistical method used to select a pre-determined number of elements from a population in order to make inferences about the entire population.
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Systematic bias is a type of bias that occurs when a sample is taken in an inconsistent or non-random manner that results in an inaccurate representation of the population.
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Systematic errors are errors that occur due to incorrect assumptions or design flaws, and lead to inaccurate results.
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Systematic review is a type of literature review that is used to assess the quality and reliability of existing research on a particular topic.