![]() The population under study is arranged according to an ordering scheme, and the samples are selected at regular intervals through that ordered list. In systematic sampling, sample selection is based on the position and not on sample characteristics such as color, gender, or physical appearance. Systematic sampling is one of the simplest methods of sample collection. ![]() Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. The sampling method ensures that samples are drawn without bias and accurately represent the population. Data are the result of sampling from a population. Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Also, the population must be randomly distributed to avoid bias.įor instance, if all tall students in the class are standing together, the systematic sampling would draw a biased sample, reducing the average height of the class. Systematic sampling can only be used when researchers know the exact number of individuals in a population. Now, select every 5th person from the list to get the systematic sample of students and calculate the average height. Simply divide the population size, twenty, by the desired size of the sample, four, to obtain a systematic interval-a fixed periodic interval for drawing samples. ![]() Suppose, from a class roster of twenty students, four of them need to be randomly selected to calculate the average height of students in the class. In systematic sampling, sample selection is purely based on the position and not on sample characteristics such as color, gender, or physical appearance. Appropriate sampling methods ensure that samples are drawn without bias and truly represent the population.
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