Answer to Question #250926 in English for mck

Question

The purpose of sampling is to allow the researcher to choose elements from the population that are representative of the total population (Babbie & Mouton, 2010; Neuman, 2011). As a researcher, you want to choose an accurate, representative sample from a population. Identify and discuss the four methods of probability sampling

Answer 1

In a simple random sample, every member of the population has an equal chance of being selected. Your sampling frame should include the whole population.

Systematic sampling is similar to simple random sampling, but it is usually slightly easier to conduct. Every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals.

Stratified sampling involves dividing the population into subpopulations that may differ in important ways. It allows you draw more precise conclusions by ensuring that every subgroup is properly represented in the sample.

Cluster sampling also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample. Instead of sampling individuals from each subgroup, you randomly select entire subgroups.