Read and respond back to discussion post below. Be constructive and professional with your thoughts, feedback, or suggestions. 125 words for each question

1)In health care, professionals will likely interact with different groups in health so using sampling methodologies it analyzes patterns or distribution of health with different groups. It would help to identify and understand the factors leading to poorer outcomes. According to Cunningham, Weathington, Pittenger (2013), a simple definition for sample is “the primary feature of a “good” sample for research is that the sample actually represents that population from which it was selected. One way to define a sample is to contrast samples with things that are not samples. We can also define samples by the methods used to create them” (p.162). The use of sampling methods is to find the common evidence to ensure to connect to the results of what is included in the sample to study from. It can go over social factors, health, behavior, education, and many more topics. The risk of sampling errors may go through the process of an entire population, however, each population may come in different subjects or representation.


Cunningham, C.J.L., Weathington, B.L., & Pittenger, D.J., (2013). Understanding and Conducting Research in Healthcare. Retrieved from!/4/2/10/10@0:73.4

2.)Sampling in health care research is very important since it helps the researcher to obtain accurate results from research. This has prompted the need for engaging in multiple sampling methodologies to ascertain that the results that would be obtained from the sampling methodologies are a true reflection of what occurs at the ground. When researching the health care industry, there is the need of the researcher to engage in utilizing multiple sampling methodologies. Through using numerous sampling methodologies, it enables a researcher to conclude the population from the numerous samples. Having numerous research methodologies when engaging in research it also helps the researcher to generalize the larger population together with engaging in comparing the results of the different sampling methods to derive the accurate representation of the larger population (Grove & Cipher, 2016). Multiple sampling methodologies need to be considered for health care research as this will help to reduce sampling errors.

Sampling error in statistics is often the error, which is caused by observing a sample instead of the whole population when engaging in research (Grove & Cipher, 2016). The risk of sampling error is that the information or the result that the researcher would obtain from the research might not be the true reflection of the population. The other risk is that it might lead to unbiasedness when collecting data from the sample. The additional risk of sampling error is that the results of the research might not be accurate; therefore, difficult to use the research findings within the health care industry.


Grove, S.K., & Cipher, D.J. (2016). Statistics for Nursing Research-E-Book: A Workbook for Evidence-Based Practice. Elsevier Health Sciences.