Cluster (Area) Random Sampling
Simple Random Sampling
Systematic Random Sampling
Stratified 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).
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).
Based on the characteristics, the research will classify the research population. After that the participants will be selected by the researcher from (Saunders, 2003).
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).
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).