There are several strategies for sampling in quantitative research, including: Random Sampling: This involves randomly selecting individuals from the population to participate in the study. It helps to ensure that each member of the population has an equal chance of being included in the sample. Stratified Sampling: This strategy involves dividing the population into subgroups (strata) based on certain characteristics, such as age, gender, or income level. Then, individuals are randomly sampled from each stratum in proportion to their representation in the population. This strategy ensures representation from all strata in the sample. Cluster Sampling: This involves dividing the population into clusters or groups and randomly selecting a few clusters to include in the study. All individuals within the selected clusters are included in the sample. This strategy is useful when it is difficult or impractical to sample individuals directly from the population