respond to these 2 different research paper
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 nonprobabilistic 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
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. Retrieved
from www.questionpro.com: https://www.questionpro.com/blog/types-of-sampling-for-socialresearch/
CFI. (2015). Cluster Sampling. Retrieved
from corporatefinanceinstitute.com: https://corporatefinanceinstitute.com/resources/knowledge/other
/cluster-sampling/
Mc Combes, S. (2019, September 19). Understanding different sampling methods. Retrieved
from www.scribbr.com: https://www.scribbr.com/methodology/sampling-methods/

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