NURS 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis

Walden University NURS 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis-Step-By-Step Guide

This guide will demonstrate how to complete the Walden University NURS 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis 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 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis                           

Whether one passes or fails an academic assignment such as the Walden University NURS 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis 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 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis                         

The introduction for the Walden University NURS 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis 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 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis                         

After the introduction, move into the main part of the NURS 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis 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 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis                         

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 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis                           

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 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis

Data collection involves gathering qualitative and quantitative data on particular variables to evaluate the outcomes or obtain actionable insights. Effective data collection needs a clear process to ensure the data is error-free, consistent, and reliable. Data collection guides decision-making, strategic planning, and research (Sadan, 2018). After data is gathered, it is cleaned, modified, and processed in a process called data analysis to obtain actionable, pertinent information that guides in making informed decisions. The purpose of this paper is to describe the organized data collection and plan for data analysis for the practicum project.

Data Collection

The practicum project is a staff education project that seeks to train new grad nurses on diabetic ulcers. Data collection will be conducted using a questionnaire, specifically pre-test and post-test questionnaires. The pre-test questionnaire will be administered to the training participants before the training. It will seek to gather data on the participants’ knowledge of diabetic ulcers on aspects like risk factors, assessment, nursing management, prevention, and patient education (Innes-Walker et al., 2019). After the training, the new grad nurses will be administered a post-test questionnaire, which will collect information on the knowledge obtained from the training (Damery et al., 2021). The data from the two questionnaires will be compared to measure the impact of the training in improving new grad nurses’ knowledge scores in diabetic ulcers, particularly the aspects of diabetic ulcers that will be covered in training.

Plan for Analysis

The responses from the pre-and post-test questionnaires will be analyzed to establish if the training has bridged the knowledge gap on the management of diabetic ulcers. The synthesis will be performed using SPSS statistical tool. SPSS is the statistical software of choice because it offers data analysis for numeral outcome predictions, descriptive statistics, and identifying groups (Sadan, 2018). The software also provides for data transformation and graphing to manage data smoothly.

Assessment of Scorecard

The project’s scorecard aimed to measure the performance of the staff training project. It has helped to get a comprehensive insight into the project and turn its vision into actionable and measurable steps. The scorecard is functional since it has helped to communicate the project’s objective to the project team and the practicum setting. In addition, it communicates crucial components of the project, including specific milestones and the actions to channel resources to achieve the desired objective for the project (Sharaf-Addin & Fazel, 2021). The scorecard has measured what it was intended to measure, including the achievement of the critical milestones. For example, it has helped establish that we have achieved milestones like conducting a literature review and developing a lesson plan. Besides, it shows the tasks needed to achieve the remaining milestones of implementing the training program and evaluation.

The project’s dashboard is a tool used to monitor performance and shows the key performance indicators pertinent to the project’s success. The project metrics in the dashboard have enabled the project team to use real-time data to assess the project’s overall performance and progress and identify potential problems (Sharaf-Addin & Fazel, 2021). I have managed the project dashboard by measuring the performance of high-level, long-term objectives of the staff training project.

Conclusion

Data collection for the staff training project will be through pre-and post-test questionnaires. The responses from the two questionnaires will be compared and analyzed to establish if the project’s aim has been achieved. Data analysis will be conducted using the SPSS statistical tool since it provides descriptive statistics. The project’s scorecard is still functional and is used to communicate the project’s objective to the project team and measure the achievement of the project’s critical milestones.NURS 8503 WEEK 8 Assignment 2 Data Collection and Plan for Analysis.edited

References

Damery, S., Flanagan, S., Jones, J., & Jolly, K. (2021). The Effect of Providing Staff Training and Enhanced Support to Care Homes on Care Processes, Safety Climate, and Avoidable Harms: Evaluation of a Care Home Quality Improvement Programme in England. International journal of environmental research and public health, 18(14), 7581. https://doi.org/10.3390/ijerph18147581

Innes-Walker, K., Parker, C. N., Finlayson, K. J., Brooks, M., Young, L., Morley, N., … & Edwards, H. E. (2019). Improving patient outcomes by coaching primary health general practitioners and practice nurses in evidence-based wound management at on-site wound clinics. Collegian, 26(1), 62-68. https://doi.org/10.1016/j.colegn.2018.03.004

Sadan, V. (2018). Data collection methods in quantitative research. Indian Journal of Continuing Nursing Education, 18(2), 58.

Sharaf-Addin, H. H., & Fazel, H. (2021). Balanced Scorecard Development as a Performance Management System in Saudi Public Universities: A Case Study Approach. Asia-Pacific Journal of Management Research and Innovation, 17(1–2), 57–70. https://doi.org/10.1177/2319510X211048591

Sample Answer 2 for NURS 8503 Week 8 Assignment 2 Data Collection and Plan for Analysis

Project implementation is tedious and requires massive support and facilitation from health care teams and stakeholders. The current project is resilience training to help the nursing staff overcome the adverse effects of the nursing shortage. Like other projects, the implementation should be evaluated to determine whether the project achieved the expected results. As a result, data collection resources and processes should be functional and appropriate. Change proponents should also use effective data analysis approaches to avoid evaluation and dissemination flaws. The purpose of this assignment is to describe the data collection and analysis plan.

Data Collection and Analysis

Data collection is a continuous process in project implementation. It requires combining effective tools and methods to give accurate qualitative and quantitative insights (Seebacher, 2021). The data collected provide insights into the project’s impacts in four main areas; financial, internal, client, and innovation. Regarding the financial aspects, the focus is on how the project reduces adverse effects that increase health care costs. The internal dimension concerns the areas requiring excellence and the project’s impacts on the same. The data gathered in the client’s dimension is on the outcomes affecting patient care. Such impacts include working for longer hours without exhaustion and engaging in self-care. Innovation entails intervention necessary for better output.

Data analysis involves analyzing the collected data to extract insights that guide decision-making. The data collected can be analyzed both quantitatively and qualitatively. An effective quantitative approach is a comparative (numerical) analysis of the differences in the reported cases of burnout, stress, and uncivil behaviors before and after the project implementation. Qualitatively, the descriptive analysis would suit the current project. It turns raw data from various sources into valuable insights through manipulation and interpretation (Seebacher, 2021). For instance, an interview with the nurses on attitude change and their current self-care plan will provide accurate insights into the project’s effects on behaviors.

Scorecard Assessment and Dashboard Management

Performance denotes the completion of a proposed activity. Mailat et al. (2019) described balanced scorecards as valuable tools for performance evaluations for reducing ambiguities and increasing congruence between various organization groups. The current scorecard is functional and effectively measures the performance aspects it was developed to measure. It has targets and measures for each performance component- financial, internal, client/customer, and innovation/growth. Key performance indicators under each component help to measure the project’s outcomes both qualitatively and quantitatively.

The balanced scorecard and performance dashboard should be combined for detailed insights and cost-effective health care delivery. Dashboards are enterprising tools that provide a clear view of business performance indicators to enable leaders to make competent decisions (Victor & Farooq, 2021). I am managing my dashboard through progressive review and making updates where necessary. Doing so ensures that the visualized information is current. I am also combining descriptive and visual illustration tools to ensure that the dashboard is detailed and illustrates data comprehensively. Other management strategies will be incorporated as situations oblige.

Conclusion

Change leaders collect massive data during project implementation. Accurate and adequate data is crucial for flawless evaluation and dissemination. As explained in this paper, the current data can be analyzed through comparative performance assessment and descriptive analysis. The implication is that it will be analyzed both quantitatively and qualitatively. As further explained, the balanced scorecard is functional and effectively measures the elements it was developed to measure.

References

Mailat, D., Stoica, D. A., Surgun, M. B., Traistaru, N. I., & Vranceanu, A. (2019). Balanced scorecard vs. dashboard: Implications and managerial priorities. Academic Journal of Economic Studies, 5(1), 170-174. https://web.archive.org/web/20200727213534id_/http://www.ajes.ro/wp-content/uploads/AJES_article_1_242.pdf

Seebacher, U. (2021). Predictive intelligence for data-driven managers. Springer International Publishing.

Victor, S., & Farooq, A. (2021). Dashboard visualisation for healthcare performance management: Balanced scorecard metrics. Asia Pacific Journal of Health Management, 16(2), 28-38. doi: 10.24083/apjhm.v16i2.625