Sampling Strategy and Sample Size for a Quantitative Research Plan Coursework

Sampling Strategy and Sample Size for a Quantitative Research Plan - Coursework Example Because the population is made up of a very large size, the researcher shall set up a sample size. The sample size basically refers to a fewer group of persons out of the population who would become respondents to the researcher (Berry, 2005). In order to arrive at this number, it is important that the researcher uses a sampling strategy that would meet the objectives of the study. To this end, the researcher shall devise the use of the random sampling strategy to select the members for the sample size. Random sampling is the kind of sampling strategy where every member of the population has an equal chance of becoming part of the sample size. This is because the researcher uses a strategy that presents all members in the population with an equal probability of becoming part of the sample size. The mechanism that would eventually ensure that some members are included whiles others are rejected would be the effect of chance. By this, reference is being made to the fact that given the same probability, it would only be by chance that some members will be selected ahead of others (Bartholomew et al, 2008).  Ã‚  Ã‚   The random sampling strategy shall be applied in a very specialized way. This would be done to ensure that the researcher enjoys and benefits from the full advantages of the random strategy. It is worth noting that the procedure by which the researcher shall select the members of the sample size by applying the random sampling strategy is known as sampling (Cheng, 2009). There are several sampling procedures.