When to use systematic sampling?
Posted: Mon Jan 06, 2025 4:44 am
If you already know how to perform systematic sampling, it will be easier for you to know when to use it. For example, if you want to form a sample of 500 people from a population of 5,000, this is a clear example of when to use systematic sampling. Of course, in this case you would have to number each person in the population.
Once you have finished numbering the people, the researcher could select a random number, for example, 5. The 5th individual will be the first to be part of the systematic sample, after that, the 10th member will be added to the sample and so on until reaching 4995.
Here are four other situations where you can use systematic sampling:
Budget Constraints: Compared to other sampling methods like simple random sampling, this sampling technique is best suited for situations where there are budget constraints.
Hassle-free implementation: As systematic sampling relies on defined sampling intervals to decide the sample, it is easy for researchers to manage larger sample sizes. This is because the time spent on sample creation is minimal and the cost spent is also restricted due to the periodic nature of systematic sampling.
Absence of data pattern: There is certain data that does not have an arrangement in place. This information can be analyzed in an unbiased manner using systematic sampling.
Low risk of data manipulation in research: Systematic sampling is ivory coast phone number productive when conducting research on a broad topic, especially when there is a negligible risk of data manipulation.
I recommend you also read: 5 steps to create an effective research sample .
Now that you know how to carry out systematic sampling, good luck with your research project! Don't forget that at QuestionPro we have online tools that can help you collect the data you need.
Once you have finished numbering the people, the researcher could select a random number, for example, 5. The 5th individual will be the first to be part of the systematic sample, after that, the 10th member will be added to the sample and so on until reaching 4995.
Here are four other situations where you can use systematic sampling:
Budget Constraints: Compared to other sampling methods like simple random sampling, this sampling technique is best suited for situations where there are budget constraints.
Hassle-free implementation: As systematic sampling relies on defined sampling intervals to decide the sample, it is easy for researchers to manage larger sample sizes. This is because the time spent on sample creation is minimal and the cost spent is also restricted due to the periodic nature of systematic sampling.
Absence of data pattern: There is certain data that does not have an arrangement in place. This information can be analyzed in an unbiased manner using systematic sampling.
Low risk of data manipulation in research: Systematic sampling is ivory coast phone number productive when conducting research on a broad topic, especially when there is a negligible risk of data manipulation.
I recommend you also read: 5 steps to create an effective research sample .
Now that you know how to carry out systematic sampling, good luck with your research project! Don't forget that at QuestionPro we have online tools that can help you collect the data you need.