Question

Compare and contrast Simple Random Samples with Stratified Random Samples Discuss the major difference between probability and nonprobability samples, and discuss the impact this difference has on one’s ability to generalize to the larger population being studied. Be Specific. Criminal Justice

Answer 1

Simple random samples and stratified random samples are related to probability sampling techniques known as simple random sampling and stratified random sampling, respectively. Both the kinds of samples differ from each other. Simple random samples are those samples which are selected randomly from the entire population, such that each member of that population stands an equal probability or chance of being selected. On the other hand, stratified random samples are obtained by dividing the given population into different groups (also known as strata), with members of each group having common attributes, that differentiates them from all the others groups. A simple random sample is obtained from each group and merged to create a final sample, based on heterogeneity of the population.

The major difference between probability and nonprobability samples is that probability samples relate to the sampling technique in which every element of the population has an equal chance of being selected as a representative sample. Non-probability samples relate to the sampling technique in which the opportunity of selection from the given population is unknown or not specified. Probability samples are selected randomly, whereas nonprobability samples are selected arbitrarily. Probability samples generate unbiased results, whereas nonprobability samples generate biased results.

The difference between probability samples and nonprobability samples affects one’s ability to generalize to the larger population being studied. This is because when research is conducted probability sampling generates unbiased results from objective methods and draws statistical inferences, whereas non- probability sampling generates biased results from subjective methods and draws analytical inferences. Thus, it can be concluded the one can generalize unbiased results to the larger population using probability sampling technique, whereas biased results obtained from non-probability sampling cannot be generalized to the larger population.