# Analyzing Different Approaches Of Sampling

885 WordsSep 15, 20154 Pages
2) Describe different approaches of sampling. Sampling refers to the statistical process of selecting a portion of the population that is being studied to represent the attributes of the entire populations ( Polit & Beck, 2014). The different strategies of sampling includes: 1. Probability sampling is typically used in quantitative research studies (Polit & Beck, 2014). It involves a specific analytical process that requires the random selection of attributes from a population that is being studied, which establishes that there is an equal likelihood of each attribute in the population(Polit & Beck, 2014). Some of the most common types of random sampling includes simple random, stratified random, and cluster sampling ( Heo, n.d.). Simple random sampling is when the population sample subjects are homogeneous with one another on variables. This type of sampling assures a high degree of likeness (Polit & Beck ,2014). Stratified random sampling is when the population is heterogeneous and involves several different groups in which some are related to study of interest and are randomly picked ( Polit & Beck, 2014). Cluster sampling is when the sample selection is divided into separate groups, also known as strata; therefore, the researcher ensures an adequate selection of subjects with relevant elements within each unit ( Polit & Beck, 2014). 2. Nonprobability sampling is a process that is not as reliable as probability sampling and the techniques used lack