Data Sampling Techniques - Meaning and Different Types of Techniques
The method which is adopted to collect the sample obviously has large implications on the conclusions drawn from that sample. Mentioned below are the techniques which can be used for sampling populations as well as processes. A brief detail has been given so that you can understand the pros, cons and correct usages of each of these techniques:
Population Sampling Techniques
Process Sampling Techniques
The advantage of this strategy is that you have an additional dimension which is time. Studies can be done and cycles and patterns can be found out. The disadvantage is that planning one of these studies requires considerably more expertise than a random sampling plan.
Although there are many more types of sampling techniques that are available, the four listed above account for almost 80% of the types of samples that are used in studies. Hence a thorough understanding of these four will help improve your sampling endeavour.
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