NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II
Grand Canyon University NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II-Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II 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 NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II
Whether one passes or fails an academic assignment such as the Grand Canyon University NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II 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 NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II
The introduction for the Grand Canyon University NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II 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 NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II
After the introduction, move into the main part of the NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II 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 NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II
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 NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II
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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NUR 705 Assignment 11.1: Quantitative Article Critique #2—Part II
The DNP topic selected for this project is effectiveness of Case Management for Patients with Chronic Diseases. Case management is a collaborative process that assesses, plans, implements, coordinates, monitors, and evaluates the options and services required to meet an individual’s health and human service needs. It is utilized to promote quality and cost-effective outcomes. A recent study published by Author (year) evaluated the effectiveness of case management intervention for patients with chronic diseases. The researchers found that case management was associated with significant improvements in patient outcomes, including clinical measures such as blood pressure control and cholesterol levels, as well as measures of patient satisfaction. Thus, case management appears to be an effective strategy for improving care for patients with chronic diseases. The quantitative article that is related to the DNP project or area of interest is an article by Hernández‐Zambrano et al. (2019)
A Summary of How the Article relates to my Potential DNP Project Topic
The authors (year) found that case management yielded positive effects on clinical outcomes, patient satisfaction, and use of health services (Hernández‐Zambrano et al., 2019).The pooled results indicated that case management was associated with significant improvements in clinical outcomes. Case management was also associated with increased use of preventive health services and decreased use of hospital services. The findings from this quantitative article, answers some of the research questions in my DNP project. Also, the article provides knowledge that can be used as the foundation of research for the DNP project. Finally, the information given both in the literature review and findings directly expound on my DNP project topic or area of interest in this research.
Search Terms
Some of the search terms I applied included: Case Management for Patients with Chronic Diseases, Effectiveness of a case management model, effective patient management, the management of chronic diseases, and the comprehensive provision of health services.
The Filters Established for The Search
While looking for articles on this topic, search engines such as Google Scholar or LexisNexis were applied, which allowed for specification of certain parameters such as date range, subject area, and type of content. These filters are important because they helped me focus a search on the most relevant results.
Reviewing Process
To review the search results for this article, I first looked at the number of results that were returned for my query. I then scanned through the titles and descriptions of the top results to get a sense of what information was available on this topic. After that, I read through a few of the most relevant articles to get a better understanding of the main points that have been covered on this topic.
Conclusion
Author and author (year) examined the effectiveness of case management for patients with chronic diseases. A case management program is a collaborative effort between the patient, family members or caregivers, and a care coordinator. The goal of case management is to provide comprehensive, individualized care that improves outcomes and health-related quality of life for patients with chronic diseases. The authors cited several studies that demonstrated the effectiveness of case management for patients with chronic diseases.
Reference
Hernández‐Zambrano, S. M., Mesa‐Melgarejo, L., Carrillo‐Algarra, A. J., Castiblanco‐Montañez, R. A., Chaparro‐Diaz, L., Carreño‐Moreno, S. P., … & Ardila‐Rodriguez, H. M. (2019). Effectiveness of a case management model for the comprehensive provision of health services to multi‐pathological people. Journal of Advanced Nursing, 75(3), 665-675. https://doi.org/10.1111/jan.13892
Introduction
In this paper, you will critique the article you choose in Week 10. Although the questions below are closed-ended, provide narrative answers about your evaluation/analysis of that particular aspect of the article.
Assignment Guidelines
Your paper should include the following components:
- Provide a short summary of the article (one to two paragraphs).
- Answers to the following analysis questions:
- Is the title descriptive of the content of the article? Does it contain key words that help a person quickly identify the area with which the study is concerned?
- Does the introduction provide a general explanation of the purposes and significance of the study?
- Is there evidence that the authors are knowledgeable about the field? Has a summary of related studies been included in the introductory material?
- Are the hypothesis or research questions clearly and explicitly stated?
- Are the dependent and independent variables identified? Are they operationally defined? Are any extraneous variables identified as well as measures for controlling them?
- Is the population clearly defined? Are the sampling procedures that give rise to the samples being used clearly described? Are these procedures appropriate and defendable?
- Are the data-gathering instruments identified, described, and/or explained? Has reliability and validity evidence been presented?
- Are the experimental or statistical design and procedures clearly presented?
- Are the data clearly described? Did the researchers provide a description of how they were analyzed? Did the researchers draw conclusions based on the data?
- Have any unexpected or unusual results been identified?
- Is the style of writing and presentation scholarly (spelling, grammar, organization of the article)?
- State your overall evaluation of the quality of the research presented in this article. Based on your evaluation of items 1–11, would you say this is good research or not? Explain your evaluation.
Your complete critique should be no more than five pages and follow APA guidelines.
Turnitin
Your assignment will be scanned using Turnitin software. Turnitin is an online service that highlights matching text in written work. It indexes Internet sources, databases of subscription services, and written work submitted through its website. Assignments sent through Turnitin are scanned against all of its sources, and a report is generated that summarizes and highlights matching text and where it was found. It is up to instructors and students to interpret the report to determine if plagiarism occurred.
You may submit your assignment to Turnitin before its due date to assess your work against Turnitin’s database. You may use the Originality Report’s results to address any originality concerns in your work, and then resubmit your assignment for grading. You may only submit and resubmit until the assignment’s due date. Any work that has been submitted at the time the assignment is due will be considered your final submission, and this will be the submission used for grading.
For additional information, visit Turnitin and GradeMark: Students.
Submission
Submit your assignment and review full grading criteria on the Assignment 11.1: Quantitative Article Critique #2—Part II page.
StatQuest: Logistic Regression Transcript
Josh Starmer: Hello. I’m Josh Starmer and welcome to StatQuest. Today, we’re going to talk about logistic regression. This is a technique that can be used for traditional statistics, as well as machine learning. Let’s get right to it.
Before we dive into logistic regression, let’s take a step back and review linear regression. In another StatQuest, we talked about linear regression. We had some data, weight and size, then we fit a line to it and with that line, we could do a lot of things. First, we could calculate R squared and determine if weight and size are correlated. Large values imply a large effect. And second, calculate a p-value to determine if the R squared value is statistically significant. And third, we could use the line to predict size given weight. If a new mouse has this weight, then this is the size that we predict from the weight. Although we didn’t mention it at the time, using data to predict something falls under the category of machine learning. Plain old linear regression is a form of machine learning. We also talked a little bit about multiple regression. Now we are trying to predict size using weight and blood volume. Alternatively, we could say that we are trying to model size using weight and blood volume.
Multiple regression did the same things that normal regression did. We calculated R squared and we calculated the p-value and we could predict size using weight and blood volume. And this makes multiple regression a slightly fancier machine learning method. We also talked about how we can use discrete measurements like genotype to predict size. If you’re not familiar with the term genotype, don’t freak out. It’s no big deal. Just know that it refers to different types of mice.
Lastly, we could compare models. On the left side, we’ve got normal regression using weight to predict size and we can compare those predictions to the ones we to get from multiple regression, where we’re using weight and blood volume to predict size. Comparing the simple model to the complicated one tells us if we need to measure weight and blood volume to accurately predict size or if we can get away with just weight.
Now that we remember all the cool things we can do with linear regression, let’s talk about logistic regression. Logistic regression is similar to linear regression except logistic regression predicts whether something is true or false, instead of predicting something continuous like size. These mice are obese and these mice are not. Also, instead of fitting a line to the data, logistic regression fits an S shaped logistic function. The curve goes from zero to one and that means that the curve tells you the probability that a mouse is obese based on its weight. If we weighed a very heavy mouse, there’s a high probability that the new mouse is obese. If we weighed an intermediate mouse, then there’s only a 50% chance that the mouse is obese. Lastly, there’s only a small probability that a light mouse is obese.
Although logistic regression tells the probability that a mouse is obese or not, it’s usually used for classification. For example, if the probability a mouse is obese is greater than 50%, then we’ll classify it as obese, otherwise will as not obese. Just like with linear regression, we can make simple models. In this case, we can have obesity predicted by weight or more complicated models. In this case, obesity is predicted by weight and genotype. In this case, obesity is predicted by weight and genotype and age. And lastly, obesity is predicted by weight, genotype, age and astrological sign. In other words, just like linear regression, logistic regression can work with continuous data like weight and age and discreet data like genotype and astrological sign. We can also test to see if each variable is useful for predicting obesity. However, unlike normal regression, we can’t easily compare the complicated model to the simple model and we’ll talk more about why in a bit.
Instead, we just test to see if a variable’s effect on the prediction is significantly different from zero. If not, it means that the variable is not helping the prediction. We use Wald’s Test to figure this out. We’ll talk about that in another StatQuest. In this case, the astrological sign is totes useless. That’s statistical jargon for not helping. That means we can save time and space in our study by leaving it out. Logistic regression’s ability to provide probabilities and classify new samples using continuous and discreet measurements makes it a popular machine learning method.
One big difference between linear regression and logistic regression is how the line is fit to the data. With linear regression, we fit the line using least squares. In other words, we find the line that minimizes the sum of the squares of these residuals. We also use the residuals to calculate R squared and to compare simple models to complicated models. Logistic regression doesn’t have the same concept of a residual, so it can’t use least squares and it can’t calculate R squared. Instead it uses something called maximum likelihood.
There’s a whole StatQuest on maximum likelihood so see that for details but in a nutshell, you pick a probability scaled by weight of observing an obese mouse, just like this curve and you use that to calculate the likelihood of observing a non-obese mouse that weighs this much and then you calculate the likelihood of observing this mouse and you do that for all of the mice. And lastly, you multiply all of those likelihoods together. That’s the likelihood of the data given this line. Then you shift the line and calculate a new likelihood of the data and then shift the line and calculate the likelihood again. And again. Finally, the curve with the maximum value for the likelihood is selected. Bam!
In summary, logistic regression can be used to classify samples and it can use different types of data like size and or genotype to do that classification and it can also be used to assess what variables are useful for classifying samples, i.e. astrological sign is totes useless.
Hurray! We’ve made it to the end of another exciting StatQuest. If you like this StatQuest and want to see more, please subscribe. And if you have suggestions for future StatQuests, well, put them in the comments below. Until next time, quest on.
Week 11: Modeling Relationships
Introduction
Last week, you looked at relationships between variables measured at the interval level, called correlation. In health care, we often want to know if we can “predict” an outcome based on an intervention. This week, we will look at the predictive probability of an outcome occurring. However, we need to ensure that we have a correlation between variables measured on the interval level before we can use modeling relationships, called linear “regression”.
We can also use a regression technique using nominal and categorical variables. We term this logistic regression. Both linear regression and logistic regression fall under the category of statistical testing known as multivariate statistics.
| Quantitative Article Critique—Part II | ||
|---|---|---|
| Criteria | Ratings | Pts |
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Analysis of Title and Introduction
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/ 2 pts
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Analysis of Summary of Studies in the Introductory Material
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/ 2 pts
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Discussion of Hypothesis and Research Questions of Study
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/ 2 pts
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Discussion of Variables
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/ 2 pts
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Discussion of Population and Sampling
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/ 2 pts
|
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Discussion of Instruments and Reliability and Validity
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/ 2 pts
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Discussion of Statistical Procedures
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/ 2 pts
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Discussion of Data and Results
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/ 2 pts
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Documentation and Mechanics
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/ 4 pts
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| Total Points: 0 | ||