Electronic Resource
Article - Review of Sampling Techniques for Education Vol. 2, No. 2 Halaman: 87–94
This paper offers a thorough explanation of the procedure
for aspiring authors to learn more about data-gathering
techniques and the application of sampling strategies in
completing papers for publication in a range of academic
fields. The sections describe the data-gathering methods
used & sampling techniques to clarify those differences. Both
probability sampling and non-probability sampling are
employed in statistics. The advantage of probability sampling
ensures the sample will be represented in the population.
Simple random, systematic, stratified, and cluster sampling
are some of the different types of probability sampling
techniques. Non-probability sampling chooses the sample
based on individual judgment. Non-probability sampling
technique is considered the best because it includes all
subjects’ representation of the entire population.
Convenience sampling, sequential sampling, quota sampling,
judgmental sampling, and snowball sampling are just a few
examples of non-probability sampling. The differences
between non-probability sampling techniques and
probability sampling approaches are examined.
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