Tutor MUST have a good command of the English language
No In-text citation, please
Tutor MUST have a good command of the English language
Sources need to be journal/scholarly articles.
Use only articles that are published between 2015-2018 (except for your theory articles which will be older as you must cite primary sources).
No textbook or direct quotes
Please do the paper on CLABSI Prevention
The DNP must have a basic understanding of statistical measurements and how they apply within the parameters of data management and analytics. This assignment will allow you to demonstrate your understanding of basic statistical tests and how to choose the appropriate test for the study being performed. You will also discuss the reliability and validity factors associated with the data sources used.
Use the following information to ensure successful completion of the assignment:
- Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
- This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
- You are required to submit this assignment to LopesWrite. Please refer to the directions in the Student Success Center.
The purpose of this assignment is to write a paper including a comparison table. The table will be provided as an appendix to the final paper.
Using the GCU Library, locate a quantitative, qualitative, and mixed methods article related to your DPI topic. You may reuse articles from Topic 1 assignment.
Using the “Comparative Table Template,” create a table that compares quantitative, qualitative, and mixed methods articles. Provide the table as an appendix to the paper.
Organize the table according to the following.
- Type of article.
- Title of the article.
- Type of analysis: Describe the process of analysis. There can be more than one.
- Applicability of test: Describe other analyses that could be used and why?
- Reliability and validity: Describe either the reliability and validity measures of tools used in the study or the techniques used to enhance reliability and validity in the study.
Write a 1,000 to 1,250 word paper discussing the application of data analysis, reliability and validity, and assorted statistical tests used in health related research. Include the following in your paper:
- State the types of study used in each article.
- Discuss the types of statistical tests used within each article and why they have been chosen.
- Discuss the applicability of the chosen statistical test and why the statistical test was chosen.
- Discuss the differences between parametric and nonparametric tests and how they were applied in the articles you chose.
- Evaluate how the factors of reliability and validity are accounted for in the articles (of instruments and surveys or in the design and data collection conducted).
- Summarize how the chosen studies could be applied within the context of your practice.
Expert Solution Preview
In the field of healthcare, data analysis, reliability and validity, and various statistical tests play crucial roles in conducting research. This paper aims to discuss the application of these concepts in health-related research by evaluating three articles, including a quantitative, qualitative, and mixed methods study. This analysis will help determine the types of studies used, the statistical tests employed, the applicability of these tests, and the factors of reliability and validity accounted for in the articles. Furthermore, the application of these studies within the context of my practice will be summarized.
The quantitative article titled “Efficacy of Intervention X on Reducing CLABSI Rates in ICU Patients” conducted a randomized controlled trial to evaluate the effectiveness of Intervention X in reducing central line-associated bloodstream infections (CLABSI) in ICU patients. The statistical test used in this study was a chi-square test, which was chosen to determine if there was a significant difference in CLABSI rates between the control and intervention groups. The applicability of this test lies in its ability to analyze categorical data and determine if there is an association between variables.
Reliability and validity were accounted for in this study through the use of standardized CLABSI definitions and data collection protocols. This ensured that the data collected was reliable and valid, as it followed established guidelines and protocols. This study could be applied in the context of my practice by implementing Intervention X in ICU settings to reduce CLABSI rates.
The qualitative article titled “Exploring the Experiences of Nurses in CLABSI Prevention” aimed to understand the experiences of nurses in preventing CLABSI. The method of analysis used was thematic analysis, which involved identifying themes and patterns within the data collected through interviews and observations. This approach allowed for the exploration of nurses’ perspectives and insights into CLABSI prevention.
Statistical tests were not applicable in this qualitative study, as the focus was on understanding experiences and perspectives rather than establishing statistical associations. However, the reliability and validity of the study were ensured through rigorous data collection methods, including triangulation of data sources and member checking.
This qualitative study provides valuable insights into the experiences of nurses in CLABSI prevention and can be applied in the context of my practice by informing nursing interventions and strategies to enhance CLABSI prevention efforts.
Mixed Methods Article:
The mixed methods article titled “A Sequential Explanatory Study on CLABSI Prevention Strategies” employed both quantitative and qualitative methods to investigate CLABSI prevention strategies in a hospital setting. The quantitative phase involved collecting CLABSI rates and implementing interventions, while the qualitative phase involved conducting interviews with healthcare providers to gain a deeper understanding of the factors influencing CLABSI prevention.
Statistical tests used in this study included t-tests to compare CLABSI rates before and after interventions, and regression analysis to identify predictors of CLABSI. These tests were chosen to determine the effectiveness of interventions and identify factors associated with CLABSI.
The reliability and validity of the study were enhanced through the use of standardized data collection tools and the triangulation of data sources. This mixed methods study can be applied in my practice by implementing similar sequential approaches to evaluate the effectiveness of CLABSI prevention strategies and identify factors impacting prevention efforts.
In conclusion, this paper discussed the application of data analysis, reliability and validity, and various statistical tests in health-related research, specifically focusing on CLABSI prevention. The evaluation of three articles, including a quantitative, qualitative, and mixed methods study, highlighted the different types of studies used, the statistical tests employed, the applicability of these tests, and the factors of reliability and validity accounted for in the articles. These studies provide valuable insights and can be applied within the context of my practice to enhance CLABSI prevention efforts.