Reference no: EM133603076
Question: A fundamental step in the process of the research is the sampling and data collection. Sampling is the process of selecting observations. Please discuss what your sample population is for legalizing marijuana in Wisconsin. Also, explain which type of sampling is best for legalizing marijuana in Wisconsin (probability or nonprobability sampling).
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When collecting data, you want to make sure that you get the correct observation method. There is probability sampling and nonprobability sampling. Probability sampling is a research technique that uses random selection to study a segment of a population. Researchers may use this technique to generate statistics that explain a larger trend. Nonprobability sampling is the process of selecting a sample from a population without using (statistical) probability theory. When choosing an observation method for finding out data about legalizing marijuana in Wisconsin, it is important to think about the advantages and disadvantages. The general goal when choosing a sample is to obtain one that is representative of the target population. Representation requires that every member in the population or the sampling frame have a known chance of being selected for the sample. If the sample is representative of the population, then the results from the sample can be applied or generalized to the whole population, which is also known as generalizability. Four types of probability samples include: (1) simple random, (2) stratified random, (3) systematic, and (4) cluster. The major difference between probability and nonprobability sampling is that one provides the opportunity for all members of the sampling frame to be selected, whereas the other does not. This shortcoming of nonprobability sampling often leads to questions and concerns over the representativeness of the sample. However, when the sample produces the requisite information, representativeness is often not as much of a concern, although its limitations must still be noted. Furthermore, a nonprobability sample could be perceived as representative if enough characteristics of the target population exist in the sample. There are four types of nonprobability samples: (1) purposive, (2) quota, (3) snowball, and (4) convenience.
When researching Legalizing Marijuana in Wisconsin, I would use probability sampling. I would have a higher chance of getting more accurate data.
When collecting data on Legalizing Marijuana, I would use surveys, interviews, observations, or secondary data methods. It allows for better access to more information on the topic