Sampling Techniques | Research Methods and Statistics - Statswork

Our experts help you to identify right sampling technique for your research work.

Several types of sampling techniques are available as follows:

Probability Sampling

Cluster (Area) Random Sampling

Simple Random Sampling

Systematic Random Sampling

Stratified Random Sampling

Random Sampling

This is the easiest form of probability technique. In this method, each and every respondent will get equal chances. However, if the target population is high then it is very difficult to define the exact sample size (Saunders et al., 2003).

Systematic sampling

This method is commonly referred as the Nth name selection method. In this method, each and every Nth record can be selected from the target population (Saunders, 2003).

Stratified sampling

Based on the characteristics, the research will classify the research population. After that the participants will be selected by the researcher from (Saunders, 2003).

Convenience sampling

In this method, a subset of participants will be selected by the researcher due to time and cost constrictions. This method often assumes that the target population is represented by the subset of population. In this method, subjects with convenient accessibility are generally selected by the researcher (Saunders 2003).

Judgment sampling

In this method, the subset will be selected by the researchers on the basis of their judgment. This method is often preferred by researcher while evaluating the technical issues in sampling technique. The selected participants will be posed in the best position to achieve better solution (Saunders, 2003). In order to ensure that the chosen sample was an envoy of the complete statistically significant population it is essential to measure the size of the population. Sampling occupies any part of a target population or universe as a representative of that population or universe (Kerlinger 1996).

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