NURS 8201 Sampling

NURS 8201 Sampling

NURS 8201 Sampling

In the world of data collection, sampling can be defined as a tool that is used to indicate how much data to collect and how often it should be collected. It defines the samples to take in order to quantify a system, process, issue, or problem. Sampling is used to represent a section of the population data gathered for research and study. It is used to represent a specific member of population to be represented within a study. According to Barratt & Shantikuma (2018), sampling is a method that allows researchers to infer information about a population based on the results in of a subset of the population, without investigating every individual. Individuals selected are representative of the whole population, making it easier to obtain high quality and balanced information.

In the current island of Guam, it is home to a diverse population and the researchable populations that are present in my area of practice include the high percentage of Chamorro, Filipinos, and Micronesian residents within the population of 170,000. Stratified sampling is one of the more appropriate approaches for my research study because in this method, the population can be divided into subgroups with different measures expected to vary and ensure representation from all groups of population. It is a probability sampling technique in which the total population is divided into homogenous groups or strata to complete a sampling process. The sample selected may be based on several factors such as scale, practicality, and accuracy. I choose this sampling criterion because the studying of health outcomes differs from the different population and is considered proper for an island that has only three hospitals. This results into more realistic, accurate estimation, and reduce chances of bias.

According to Qualtrics (2021), stratified sampling helps analyze a chosen sample population that reflects the groups in the chosen participant population. One example towards my research study would include demographic studies to determine which population is commonly susceptible to sepsis, if they would benefit with an implementation of a sepsis protocol, and studying their likelihood of being admitted in the intensive care unit. According to an observational research study by Yeun, stratified sampling is the choice of random sampling when deciding whether patients should be admitted in the ICU relative to age, sex, income, and eligibility status (predictive of mortality, co-morbidity, and cognitive function status), and their high risk or low risk sub-groups for ICU triage (diagnosis, medical treatment, inpatient or outpatient).

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Stratified sampling advantages include helping analyze differences based on shared characteristics such as race,

NURS 8201 Sampling
NURS 8201 Sampling

gender, nationality, level of education, and age group. These sample sizes would then assist in defining the ratio sample so that it is proportionately measured, decreasing overlap, and allows researchers to draw an effective size from each strata or subgroups from different demographic factors (Elfil & Negida, 2017). Also, it would assist in obtaining samples representing the minority/under-represented populations. Some of its disadvantages include increased of selection bias due to holding prior knowledge about population, the random sampling may not accurately represent the full population or the population being represented and this type of sampling strategy may be time consuming.


Barratt, H & Shantikumar, S. (2018). Methods of sampling from a population. Epidemiology

Health Knowledge Studies. Retrieved from

Elfil, M. & Negida, A. (2017). Sampling methods in clinical research: An educational review.

Archives of Academic Emergency Nursing. 5(1). Retrieved from

Qualtrics (2021). How to use stratified random sampling to your advantage. Experience

Management Article. Retrieved from

Yuen, K., Hyun, L., Yeon, L., Bo Ram, Y., & Hyun, K. (2019). Survival rates following medical

intensive care unit admission from 2003-2013: An observational study based on representative population based sample cohort of Korean patients. Medicine. 98(37). Retrieved from

Using a Systematic Approach to Treat Drug Dependency

In conducting a research study on the prevalence of addiction, I would apply the systematic sampling
and data collection approach. The systematic method of data analysis organizes data in a methodical
manner (Winsett & Cshion, 2013). For example, studying the rate of heroin addiction among students in
a particular university would be necessary to use questionnaires in data collection. Confidential ways of
collecting feedback from the questionnaires are used to ensure the answers given are accurate.
Systematic counsellors understand that the victims of drug addiction are autonomous and competent
persons. The behavior of addicts makes perfect sense to them from their point of view. This humane
ideology of the study population lays the basis for rehabilitation (Lempp, 2020).
Ethical challenges may be encountered during the study on addiction. Such challenges manifest as
researchers compare studies of drug use across a different population with inhabitants from diverse
backgrounds. This challenge is common when forming an exotic capacity for ethical analysis and
apparatus for oversight and confidentiality of participants. The susceptibility of participants,
communication on freedoms during the study, problems with disclosure, and authentication issues are
some of the study's challenges. Race and language barrier is other obstacles that researchers may
encounter in obtaining a sample from this population (United Nations, 2004).

In addressing these challenges, I would draft highly confidential questionnaires. For example, a dropbox
may be used by the study population in an institution to drop questionnaires once they have recorded
responses. In addition, the questionnaires should not require the participant to fill in their details to
maintain anonymity. Before undertaking the study, it would be advisable to explain their rights to
privacy and discretion to the participants. In this way, any infringement can lead to legal action. Lastly,
the researchers may post the questionnaires in different languages according to the population that is

being studied. Another step may involve hiring translators to help the researchers break the language
obstacle with participants.
In conclusion, it is essential to understand that systematic counseling is more effective than other
methods because it creates a calm environment. Drug dependency victims do not feel the pressure to
quit immediately. As a result, its success is attributed to rational decision-making by clients and
willingness to change on one's terms.


Lempp, H.P. 2020. Drug Addiction, the Systemic Approach, and the Concept of “Acceptance." published
in Journal of Systemic Therapies Vol. 15, 2/1996, p. 24-
United Nations. 2004. Ethical Challenges in Drug Epidemiology: Issues, Principles, and
Winsett, P.R. & Cashion, K.A. 2013. The Nursing Research