NUR 705 Discussion Random Sampling
University:
St. Thomas University
NUR 705 Discussion Random Sampling
Paper Instructions
Discussion Guidelines
Initial Post
For this discussion, you will be assigned to groups to discuss the study. In your group discussion, you will evaluate random sampling as it pertains to the study provided. Your discussion post should include:
- An example of how you could randomly sample a population for the study.
- The strengths and limitations of the example you choose.
Response Posts
Respond to at least two classmates’ posts.
Follow the RISE Model for Meaningful Feedback (PDF) (Links to an external site.) when writing your response posts.
Submission
Post your initial and follow up responses and review full grading criteria on the Discussion 3.1 Random Sampling page.
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Sample Answer
Recruiting a group of participants to complete an anonymous survey on their satisfaction with pre-operative teaching and communication requires adherence to appropriate sampling processes. A simple random sampling technique can be used to recruit a group of participants to complete an anonymous survey on their satisfaction with pre-operative teaching and communication (Zakari et al., 2020).
In this method, every potential participant has an equal chance of being selected for the study. First, a list of potential participants is created. Next, a random number generator is used to select a participant from the list at random. This process is repeated until the desired number of participants is reached.
While conducting a survey, it is important to sample population randomly in order to get accurate results. From the study given, to sample participants from the population, there will be the use of a random number generator to generate a list of numbers, which will then be used as indices to select participants from the population (Wang & Cheng, 2020). This method is simple and does not require any extra information about the population other than the size.
Another method that will be used is stratification of the population by some criteria (e.g. age, gender, location) and then randomly select participants from each stratum. This ensures that the selected sample is representative of the overall population.
Simple random sampling is a very popular sampling technique that is used in a variety of settings. Its main strength is that it gives every unit in the population an equal chance of being selected, which makes it very unbiased. Additionally, it is usually very easy to implement and doesn’t require a lot of planning or data. However, simple random sampling also has some weaknesses (Cekim & Kadilar, 2020).
One issue is that it can be quite inefficient; if the population is large and heterogeneous, it can be quite costly and time-consuming to select a representative sample. Another potential problem is that if the population is not well-defined (for example, if there are multiple sub-populations within it), then simple random sampling might not produce reliable sample size for the study.
References
- Cekim, H. O., & Kadilar, C. (2020). ln-type variance estimators in simple random sampling. Pakistan Journal of Statistics and Operation Research, 689-696. https //orcid.org/0000-0001-8538-6296
- Wang, X., & Cheng, Z. (2020). Cross-sectional studies strengths, weaknesses, and recommendations. Chest, 158(1), S65-S71. https //doi.org/10.1016/j.chest.2020.03.012
- Zakari, Y., Muili, J. O., Tela, M. N., Danchadi, N. S., & Audu, A. (2020). Use of unknown weight to enhance ratio-type estimator in simple random sampling. Lapai Journal of Applied and Natural Sciences, 5(1), 74-81. http //www.lajans.com.ng/articles/LAJANS%205(1)74-81.pdf
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