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:silhouettes:Sampling Techniques (Simple Random Sampling (In simple random…
:silhouettes:
Sampling Techniques
Convenience Sampling
It's a method of drawing representative data by selecting people because of the ease of their volunteering or selecting units because of their availability or easy access.
:check:ADVANTAGE: Data can be collected quickly and for a low cost.
❎DISADVANTAGE: The reliability of the sample depends upon the appropriateness of the sampling method used. (prone to volunteer bias)
Judgement Sampling
It's a deliberate choice of a sample - the opposite of random, where the researcher selects units to be sampled based on their knowledge and professional judgment.
✅ADVANTAGE: It helps by saving time and money while collecting data.
❎DISADVANTAGE: Low level of reliability and high levels of bias.
Cluster Sampling
Units in the population can often be found in certain geographic groups (e.g. a family, a classroom, a school or even a city or a school system).
❎DISADVANTAGE: It is easier to create biased data within cluster sampling.
✅ADVANTAGE: It is a more feasible approach. (quick & easy)
Simple Random Sampling
In
simple random sampling
each member of the population is equally likely to be chosen as part of the sample.
✅ADVANTAGE: It is easier to form representative groups from an overall population.
❎DISADVANTAGE: It does not provide a guarantee that the data conclusions will be accurate.
Quota Sampling
Quota sampling
means to take a very tailored sample that’s in proportion to some characteristic or trait of a population. The aim is to obtain a sample that is "representative" of the overall population.
❎DISADVANTAGE: It needs to understand the population to be able to identify the basis of stratification.
✅ADVANTAGE:
Quota sampling
ensures convenience in executing sampling study.
Systematic Sampling
:check:ADVANTAGE: It reduces the potential for bias in the information.
❎DISADVANTAGE: It can be costly and time-consuming if the sample is not conveniently located
Systematic sampling
is a technique for creating a random probability sample in which each piece of data is chosen at a fixed interval for inclusion in the sample. (
Systematic sampling
is less random than a
simple random sampling
effort)
Willa