Reference no: EM133190725

Assignment - Respond to these two different research paper.

Paper 1 - Please reply to Research 1 Maydel - Need to reply with one paragraph with 150 words including 1 reference with citation.

A fundamental part of carrying out a statistical study of any kind is to obtain reliable results, for which the greatest possible amount of data is normally needed. But it was generally almost impossible or impractical to carry out some studies on a whole population, for this the solution is to develop the screening study in a subset of the said population in a sampling (Polit & Beck, 2004). The "what or who", that is, the participants, objects, events or communities of study are the units of analysis of an investigation. Their choice depends on the research approach and the scope of the study.

First, we will determine the sample. This will be the part of a selected population on which data will be collected, and that has to be precisely defined or delineated beforehand, the sample must be statistically representative of that population (Heale & Twycross, 2015). For this, we can use different methods, such as Probabilistic sampling methods, which includes, simple random sampling, systematic random sampling, stratified random sampling, random cluster sampling, on the other hand, we will have non-probabilistic sampling methods, which include, quota sampling, intentional sampling, and casual sampling (Taherdoost, 2016).

In the probabilistic samples, all the elements of the population have the same possibility of being chosen, the sample is obtained using statistical methods which will result in a representative quantity of the population. Probabilistic samples can reduce the error size and in turn, can measure it. In non-probabilistic samples, the choice of the elements does not depend on the probability but on the characteristics of the investigation or who makes the sample (Taherdoost, 2016). Here the procedure is not mechanical or based on mathematics, but the decisions of those who carry out the research, obeying various criteria. So in my personal opinion, I would be more inclined to the probabilistic samples since they would be making us with greater veracity to the real values of our studio.

References - Heale, R., & Twycross, A. (2015, May 15). ResearchGate. doi:doi: 10.1136/eb-2015-102129

Polit, D. F., & Beck, C. T. (2004). Nursing Research (7th Edition ed.). Philadelphia: Lippincott Williams& Wilkins.

Taherdoost, H. (2016, January 01). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. ResearchGate, pp. 18-27. doi:10.2139/ssrn.3205035

Paper 2 - Please reply to Research 2 Danait - Need to reply with one paragraph with 150 words including 1 reference with citation

Sampling Technique - Typically, the sampling methods are classifiable into two classes. These include the probability sampling and nonprobability sampling. On the one hand, probability sampling refers to a process where a sample has a likelihood of being chosen. On the other hand, nonprobability sampling is a sampling technique where the sample does not have any chance of being selected (Mc Combes, 2019). Furthermore, it is also possible to establish the likelihood that each specimen will be selected. Some of the probability sampling techniques include; simple random sampling, systematic sampling, stratified sampling, multistage sampling, and cluster sampling. The question that this discussion grapples with is which sampling technique is the most feasible. I argue that cluster sampling technique is an effective and efficient approach since it reorganizes the population into an homogenous population strata for easier appraisal, its cheaper, and more feasible.

Accordingly, I would choose the cluster sampling techniques. The stratified sampling technique perfectly represents the entire populace (Bhat, 2020). Thus, it would be the best sampling technique to use when researching a specific phenomenon in a given population. A particular gathering is depicted as the stratum. During stratified testing, a researcher ought to; partition the population into strata, obtain a specific arbitrary example from every stratum/gathering, and then collect the research information on every stratum that was randomly chosen.

Notably, the stratified sampling method works efficiently on a heterogeneous population that is partitioned into genuine homogenous gatherings/strata. Under such conditions, the stratification process furnishes the researcher with exact appraisals for a given populace compared with the approximations that are done on a heterogeneous population (CFI, 2015). Furthermore, although this sampling technique is prone to bias and sampling error, it requires fewer resources and more feasible. Since cluster sampling chooses a particular group from the entire population, the process requires fewer resources. Comparatively, it is cheaper compared with simple random sampling or the stratified sampling technique, which calls for administrative or the traveling expenses. If anything, the division of the population into homogenous cohorts improves the sampling feasibility.

References - Bhat, A. (2020). Types of Sampling.

CFI. (2015). Cluster Sampling.

Mc Combes, S. (2019, September 19). Understanding different sampling methods.