Grady Hospital Cardiovascular Service Line Inpatient Bedside Nursing Units Discussion

Grady Hospital Cardiovascular Service Line Inpatient Bedside Nursing Units Discussion ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Grady Hospital Cardiovascular Service Line Inpatient Bedside Nursing Units Discussion This week’s post will focus on the second part of Chapter One. Address each area with at least five concise sentences for each section. Spelling and grammar will be reviewed and graded . Note: When you write the chapters, adhere to the Proposal Paper requirements. Chapter One, Part Two: Significance of the Project: This section identifies and describes the significance of the project and the implications of the potential results based on the clinical questions and problem statement. It describes how the project fits within and will contribute to the current literature or the clinical site practice. It describes potential practical applications from the project. Rational for Methodology: Compare why the quantitative methodology is appropriate for the DPI project by comparing it to another research methodology. Grady Hospital Cardiovascular Service Line Inpatient Bedside Nursing Units Discussion Nature of the Design: Compare why the quasi-experimental design is the most appropriate for the DPI by comparing it to at least one other research design. Definition of Terms (with citations)—D o Not Copy the Template Definitions): This section Defines any words that may be unknown to a lay person (words with unusual or ambiguous means or technical terms) from the evidence or literature. Include terms such as clinical significance , statistical significance , and words not normally understood by the lay person. Assumptions, Limitations, Delimitations (s) (DC Network has examples in the Writing Resources Folder for this section)—D O NOT COPY THAT INFO , look up information for your paper: This section identifies the assumptions and specifies the limitations, as well as the delimitations, of the project. Summary: This section summarizes the key points of Chapter One and provides supporting citations for those key points. It then provides a transition discussion to Chapter Two, followed by a description of the remaining chapters. dnp_project_methodology_and_design_lecture.pdf dnp_research_methodology_and_design_table.pdf _strategic_points_julie_childers.docx assumptions_limitations During the process of writing your manuscript, you might suddenly realize that your project has inherent flaws. Don’t worry! Virtually all projects contain restrictions. However, being able to recognize and accurately describe these problems is the difference between a good project and a grade-school kid with a science-fair project. Concerns with truthful responding, access to participants, and survey instruments are just a few of examples of restrictions on your projects. In the following sections, the differences among assumptions, limitations and delimitations of a project will be clarified. Assumptions Assumptions are things that are accepted as true, or at least plausible, by other researchers, peers, and generally to most people will read your project. In other words, any scholar reading your paper will assume that certain aspects of your project are true given your population, statistical test, project design, or other delimitations. For example, if you tell your friend that your favorite restaurant is an Italian place, your friend will assume that you don’t go there for the sushi. It’s assumed that you go there to eat Italian food. Because most assumptions are not discussed in-text, assumptions that are discussed in-text are discussed in the context of the limitations of your project, which is typically in the discussion section. This is important, because both assumptions and limitations affect the inferences you can draw from your project. One of the more common assumptions made in projects using surveys is the assumption of honesty and truthful responses. However, for certain sensitive questions this assumption may be more difficult to accept, in which case it would be described as a limitation of the project. For example, asking people to report their criminal behavior in a survey may not be as reliable as asking people to report their eating habits. It is important to remember that your limitations and assumptions should not contradict one another. Statistical models in quantitative projects are accompanied with assumptions as well, some more strict than others. These assumptions generally refer to the characteristics of the data, such as distributions, correlational trends, and variable type, just to name a few. Violating these assumptions can lead to drastically invalid results, though this often depends on sample size and other considerations. Limitations Limitations of a project are potential weaknesses in your project that are mostly out of your control, given limited time, access, maybe the equipment could be newer, choice of project design, statistical model constraints, or other factors. In addition, a limitation is a restriction on your project that cannot be reasonably dismissed and can affect your design and results. Do not worry about limitations because limitations affect virtually all projects, as well as most things in life. Even when you are going to your favorite restaurant, you are limited by the menu choices. If you went to a restaurant that had a menu that you were craving, you might not receive the service, price, or location that makes you enjoy your favorite restaurant. If you studied participants’ responses to a survey, you might be limited in your abilities to gain the exact type or geographic scope of participants you wanted. The people whom you managed to get to take your survey may not truly be a random sample, which is also a limitation. If you used a common test for data findings, your results are limited by the reliability of the test. If your project was limited to a certain amount of time, your results are affected by the operations of society during that time period (e.g., economy, social trends). It is important for you to remember that limitations of a project are often not something that can be solved by the primary investigator. Also, remember that whatever limits you, also limits other primary investigator who may want to duplicate your process, whether they are the largest medical research companies or consumer habits corporations. Certain kinds of limitations are often associated with the analytical approach you take in your project, too. Also, most of the commonly used quantitative statistical models can only determine correlation, but not causation. Delimitations Delimitations are the definitions you set as the boundaries of your own project, so delimitations are in your control. Delimitations are set so that your goals do not become impossibly large to complete. Examples of delimitations include: Objectives, research questions, variables, theoretical objectives that you have adopted, and populations/sample. When you are stating your delimitations, clearly inform readers why you chose this this project. The answer might simply be that you were curious about the topic and/or wanted to improve standards of a professional field by revealing certain findings. In any case, you should clearly list the other options available and the reasons why you did not choose these options immediately after you list your delimitations. You might have avoided these options for reasons of practicality, interest, or relativity to the project. For example, you might have only focused on Hispanic mothers because they have the highest rate of obese babies. Delimitations are often strongly related to your theory and clinical question(s). If you were doing a project on implementing a course on different parenting styles between unmarried Asian, Caucasian, African American, and Hispanic women to reduce student absenteeism in the school, then a delimitation of your project would be the inclusion of only participants with those demographics and the exclusion of participants from other demographics such as men, married women, and all other ethnicities of single women (inclusion and exclusion criteria). A further delimitation might be that you only included closed-ended Likert scale responses in the survey, rather than including additional open-ended responses, which might make some people more willing to take and complete your survey. Remember that delimitations are not good or bad. They are simply a detailed description of the scope of interest for your study as it relates to the research design. Don’t forget to describe the theoretical framework you used throughout your project. 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