DNP 830 Topic 5 Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis

DNP 830 Topic 5 Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis

DNP 830 Topic 5 Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis

Assessment Description

Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis. Justify how the analyses are aligned with the methodology and design. How does each analysis answer the clinical question in your project? Provide evidence supporting your response

ORDER A PLAGIARISM-FREE PAPER HERE ON; DNP 830 Topic 5 Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis

Thanks for stopping by this assessment. We can assist you in completing it and other subsequent ones. We have attached a well-researched, instruction-compliant sample at the end of the instructions. If you are satisfied with the sample, you can request us to customize your assignment. Our expert writers will comprehensively review instructions, synthesize external evidence sources, and customize an A-grade paper. Kindly scroll down to review the sample.

DQ 1

Statistical analyses are key to answering clinical questions, and various forms, such as inferential and descriptive analysis, can be used to address various parts of the clinical or research question. The project involves translating Nelson et al.’s research on the use of telehealth text messages to help improve patients’ HbA1c levels among patients with diabetes (Nelson et al.,2021). Therefore, both inferential and descriptive analysis will be used as part of the project. Descriptive analysis entails presenting descriptive data, while inferential analysis entails making rational conclusions from the data. The research will seek to compare the translation of Nelson et al.’s research with the current practice to determine the difference. Therefore a cross-sectional design is the most appropriate as it will also enable observation of the patients with diabetes at one time and compare it with observations made at different times (Spector et al.,2019). As such, descriptive statistics will be used to determine the standard deviation, median, and mean on the set of collected data.

BUY A CUSTOM PAPER HERE ON; DNP 830 Topic 5 Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis

Descriptive statistics will be key in determining the number of patients with improved HbA1c levels, and the mean will be obtained by the addition of every measurement and dividing by the number of measurements. Therefore, the analysis is aligned with the study design and methodology since it helps answer questions related to the population (Patients with diabetes) and HbA1c levels, which can be obtained by quantitative methods such as averages and counts. The inferential analysis will be used to determine if there is a significant difference between the groups that will use telehealth messages and those using the usual practice (Oh & Pyrczak, 2023). A comparison between two similar populations can show the differences depending on the population characteristics. Person’s correlation coefficient will be used to determine if there is a linear relationship between the variables.

References

Nelson, L. A., Greevy, R. A., Spieker, A., Wallston, K. A., Elasy, T. A., Kripalani, S., … & Mayberry, L. S. (2021). Effects of a tailored text messaging intervention among diverse adults with type 2 diabetes: evidence from the 15-month REACH randomized controlled trial. Diabetes Care, 44(1), 26–34. https://doi.org/10.2337/dc20-0961.

Oh, D. M., & Pyrczak, F. (2023). Making sense of statistics: A conceptual overview.

Spector, P. E. (2019). Do not cross me: Optimizing the use of cross-sectional designs. Journal of Business and Psychology, 34(2), 125-137. Doi: 10.1007/s10869-018-09613-8