NURS 8201 Assignment: t-Tests and ANOVA
Walden University NURS 8201 Assignment: t-Tests and ANOVA-Step-By-Step Guide
This guide will demonstrate how to complete the Walden University NURS 8201 Assignment: t-Tests and ANOVA assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for NURS 8201 Assignment: t-Tests and ANOVA
Whether one passes or fails an academic assignment such as the Walden University NURS 8201 Assignment: t-Tests and ANOVA depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for NURS 8201 Assignment: t-Tests and ANOVA
The introduction for the Walden University NURS 8201 Assignment: t-Tests and ANOVA is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
How to Write the Body for NURS 8201 Assignment: t-Tests and ANOVA
After the introduction, move into the main part of the NURS 8201 Assignment: t-Tests and ANOVA assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for NURS 8201 Assignment: t-Tests and ANOVA
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for NURS 8201 Assignment: t-Tests and ANOVA
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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Sample Answer for NURS 8201 Assignment: t-Tests and ANOVA
True, statistics are essential in quantitative research; they can also facilitate data analysis in a clinical setting. However, only when statistics are done appropriately, they can benefit science and advance nursing practice. Please let me add a few comments regarding the study you discussed in your post.
To begin with, the article does not include a detailed description of statistics or data analysis. According to Katzmarzyk et al. (2019), the design and methods of the study had been discussed elsewhere. I found this information in an earlier publication. In it, Katzmarzyk et al. (2013) say that the study would involve descriptive and inferential statistics, namely, multilevel random-effects models and covariate-adjusted models. The choice of the model looks appropriate, since the ISCOLE study involves numerous independent variables, such as physical activity, dietary patterns, and so on. Complex statistical models are well-suited to analyze complex correlational or causal links among variables. However, they also have limitations. For example, they can be time consuming.
The main question is whether the inferential statistics used in the study were sufficient and effective enough to identify cause-and-effect relationships. Katzmarzyk et al. (2019) note that their statistical models had limitations, making causal inferences problematic or questionable. They could have used ANOVA or t-test, but they would not be suitable in the analysis of causal relationships. According to Schober et al. (2018), correlations do not imply causality; nor do they say enough about the strength of the relationship between the independent and dependent variable. Besides, in the discussed study, data were collected at a single point of time, which could limit their utility in identifying cause-and-effect relationships.
Notwithstanding these limitations, the use of inferential statistics was beneficial, as it added to and expanded descriptive stat
istical results. The researchers were able to demonstrate the complexity of factors affecting childhood obesity rates across countries. They may still need additional data to address weaknesses in method and design, such as using other inferential statistics to validate the initial findings.
References
Katzmarzyk, P.T., Barreira, T.V., Broyles, S.T., Champagne, C.M., Chaput, J.P., Fogelholm,
M., Hu, G., Johnson, W.D., Kuriyan, R., Kurpad, A., Lambert, E.V., Maher, C., Maia, J., Matsudo, V., Olds, T., Onywera, V., Sarmiento, O.L., Standage, M., Tremblay, M.S., Tudor-Locke, C., Zhao, P., & Church, T.S. (2013). The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health, 13, 900. https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-13-900
Katzmarzyk, P. T., Chaput, J. P., Fogelholm, M., Hu, G., Maher, C., Maia, J., Olds, T.,
Sarmiento, O.L., Standage, M., Tremblay, M.S., & Tudor-Locke, C. (2019). International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): contributions to understanding the global obesity epidemic. Nutrients,11(4), 848. https://dx.doi.org/10.3390/nu11040848
Schober, P., Boer, C., & Schwarte, L.A. (2018). Correlation coefficients: Appropriate use and
interpretation. Anesthesia & Analgesia, 126(5), 1763-1768. https://doi.org/10.1213/ANE.0000000000002864
Sample Answer 2 for NURS 8201 Assignment: t-Tests and ANOVA
To provide a safe working environment, appropriate staffing must be maintained (CDC, 2021). According to the CDC (2021), as the Covid pandemic progresses, there will be staffing shortages due to healthcare personal (HCP), illness, or the need to care for family members at home. There are contingency capacity strategies to mitigate staffing shortages are being implemented (CDC, 2021). These strategies include cancelling all non-essential procedures and visits, attempting to address social factors that might prevent HCP from working, identifying additional HCP to work in the facility, and requesting that HCP postpone elective time off from work (CDC, 2021).
ANOVA Study
This study compares three mathematical methods: nonlinear regression, SIR, and SEIR epidemic models, to track the covid-19 disease in nine countries affected by the SARS-CoV-2 virus, to help epidemiologists to know the disease trajectory, considering initial data in the pandemic, mainly 100 days from the beginning (Juarez-Lucero et al., 2021). There was three methods one-way ANOVA applied to evaluate the results. The sample was from infected cases from the United States, Spain, Italy, France, United Kingdom, Germany, Canada, Mexico, and Argentina (Juarez-Lucero et al., 2021). Mathematical models (nonlinear regression, SIR, and SEIR) were used to simulate the Covid-19 disease (Juarez-Lucero et al., 2021). According to Juarez-Lucero (2021), the results were that the Unites States had 1,098,508 cases, Spain had 226,721 cases, Italy had 202,953 cases, France had 183,897 cases, United kingdom had 182,190, Germany had 159,407 cases, Canada had 58, 696 cases, Mexico had 50,366, and Argentina had 4,860 cases.
Inferential statistics strengthen the study because it showed the amount of cases of infected populations from each country. This study reveled that The United States must take stronger precautions against Covid. This study was limited because it didn’t specify if there were any precautions were taken from each country. Studies are still showing that the U.S. cases of COVID-19 increased by 1,201,015 (a 41% increase) over a seven-day period. There is a daily case average of 168,409 cases, and Dec. 22 saw 242,794 new cases. The U.S. has exceeded 100,000 almost every day in December. North America had only 1,306,518 new cases. There were 8,876 new deaths over the past seven days for a 1% decrease. The U.S. has the highest number of new and total cases, the highest number of total deaths and new deaths (CDP, 2021)
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References
CDC. (2021). Staff Shortages. Retrieved from https://www.cdc.gov/coronavirus/2019-ncov/hcp/mitigating-staff-shortages.html
CDP. (2021). Covid-19 Coronavirus. Retrieved from https://disasterphilanthropy.org/disaster/2019-ncov-coronavirus/?gclid=Cj0KCQiAq7COBhC2ARIsANsPATEqLBctF8fQ__zdSSv6YdB4GxTMABOb_8z7BBPFx3sW6N2uh7K8qOsaAmhgEALw_wcB
Juarez,-Lucero, J., Sanchez, S., Diaz-Hernandez, R., Guevara-Villa, M.R., Altamirano-Robles, L. (2021). ANOVA to Compare Three Methods to Track COVID-19 in Nine Countries. Retrieved from http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-95322021000100103
Sample Answer 3 for NURS 8201 Assignment: t-Tests and ANOVA
This was an exciting post. We find in nursing that adverse outcomes during our care are ever present in our minds. This information assists with decisions regarding surgery post-op.
Ask a probing question substantiated with additional background information, evidence, or research.
You state the following from your post, “The purpose of this research study aimed to investigate the antibacterial properties of cationic peptide LL-37 on Staphylococcus aureus, its anti-biofilm properties, and its comparison with Cefalexin in treating postoperative femoral fracture infections in vivo. Results showed significant inhibitory effects on clinically isolated Staphylococcus aureus compared to Cefalexin and the control group (Kahlenberg, Kaplan, 2013). “. What do we know about the downside of utilizing the peptide LL-37 from this information? Were there any additional studies utilizing it? (Ridyardetal.,2021).
Validate an idea with your own experience and additional research.
I had experience with post-op infections that were not improving over a period of time. Our quality committee did a study and determined that the common thread was actually one of the surgeons. This surgeon’s techniques were reviewed, and he was retrained, and surprisingly, the number of post-op infections was reduced. Sometimes, the simple answer is unexpectedly true. Amazingly, we have grown to utilize evidence-based practice to identify new concepts and exciting new ways to continue our endeavor in healthcare excellence.
Suggest an alternative perspective based on additional evidence drawn from readings or after synthesizing multiple postings.
Many surgical site infections can be effectively managed with the use of antibiotics. Still, SSI can cause morbidity and/or mortality, and infections lengthen the amount of time spent in hospitals by patients and also significantly increase the risk of hospital readmissions; so from this, the research in this area is critical and the use of peptides hopeful. (Mashbari et al., 2023).
Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence, and reading the other’s posts and Walden library.
The use of this study to discover treatment to reduce Staphylococcus Aureus is an important topic. Further studies are needed on other bacteria, especially the increased multidrug-resistant organisms in recent years and months. The MDRO have become some of the worst offenders of lengthened hospital stays and mortality, so I think more attention should be paid to this area.
References
Kahlenberg, J. M., & Kaplan, M. J. (2013). Little Peptide, Big Effects: The Role of LL-37 in Inflammation and Autoimmune Disease. The Journal of Immunology, 191(10), 4895–4901. https://doi.org/10.4049/jimmunol.1302005
Mashbari, H., Hamdi, S., Hussam Darraj, Awaf, M., Shaden Zaalah, Faisal Hakami, Hakami, K. M., Essam Alhazmi, Layla Al khairat, Hakami, S. A., Amani Aburasain, Hakami, A. I., & Arishi, A. A. (2023). Knowledge, attitude and practices towards surgical wound care and healing among the public in the Jazan Region, Saudi Arabia. Medicine, 102(51), e36776–e36776. https://doi.org/10.1097/md.0000000000036776
Preventing Infections in ASC. (2020). Jointcommission.org. https://www.jointcommission.org/resources/patient-safety-topics/infection-prevention-and-control/surgical-site-infections/
Ridyard, K. E., & Overhage, J. (2021). The Potential of Human Peptide LL-37 as an Antimicrobial and Anti-Biofilm Agent. Antibiotics, 10(6), 650. https://doi.org/10.3390/antibiotics10060650
Yan, C., Liu, Y., Xu, Z., Yang, H., & Li, J. (2020). Comparison of Antibacterial Effect of Cationic Peptide LL‐37 and Cefalexin on Clinical Staphylococcus aureus‐induced Infection after Femur Fracture Fixation. Orthopaedic Surgery, 12(4), 1313–1318. https://doi.org/10.1111/os.12754