The final paper will include the presentation of data and its analysis and discussion. The presentation involves reporting the collected data in as much detail as feasible. The analysis applies relevant analyses to the data and tests the hypotheses of a project. Finally, the data discussion makes sense of this information and determines implications. Thus, the three parts are interconnected but have different aims.
The available data for the CAUTI project is the performance scores of staff members regarding their ability to prevent CAUTI. The presentation of the scores is carried out with the help of histograms. The analysis section (Wilcoxon Signed Ranks Test) is described with a Minitab table (p=0.004). Finally, the discussion explains the results and states that the training is evidenced to have affected the members’ CAUTI prevention knowledge.
This approach to presenting and discussing the findings is standard (Polit & Beck, 2017; Richardson-Tench, Nicholson, Taylor, & Kermode, 2018), and it appears to provide a working structure for a manuscript. The presentation of the data may be relatively easy since the creation of tables and graphs is a common skill, but the knowledge of statistical analysis is not as popular. However, helpful sources, for example, that by Polit and Beck (2017), can direct the drafting of the data analysis and interpretation sections.
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Philadelphia, PA: Lippincott, Williams & Wilkins.
Richardson-Tench, M., Nicholson, P., Taylor, B., & Kermode, S. (2018). Research in nursing, midwifery and allied health: Evidence for best practice (6th ed.). New York, NY: Cengage AU.