Attached Files (PDF/DOCX): Canvas log in.docx
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Attached Files (PDF/DOCX): Canvas log in.docx
Note: Content extraction from these files is restricted, please review them manually.
Student will design, implement or evaluate a real nurse executive initiative within their clinical practicum organization, for example staffing models, policy development, leadership strategy, Quality Initiative and change management plans.
Possible Project Option
Required components
NB- For possible project option I preferred workforce development or retention strategies
My practicum organization is Trinidad and tobago, Eric william medical at the Crtical care unit ( Adult ICU, HDU, and Pediatric ICU)
You will work with the a second minor, different from the one you used in the first part of the course. We will refer to this minor as “Discipline 2” or your second minor/area of concentration.
You will prepare a 1- to 2-page guide sheet, summarizing key information about your second minor/area of concentration.
Preparing this guide sheet will require a combination of research and articulation of your own ideas, based on classes you have already completed. Use at least one credible, authoritative source to answer the following 8 questions:
You will need to summarize or record your answers, so you will want to cite your source or sources.
A credible, authoritative source can be:
my second Discipline is Healthcare Administration & Management
Ai and plagiarism free please
Please respond to my colleague post separately:
Colleague post #1: Listed below are my responses to this weeks discussion questions. I look forward to your responses and questions.
A polynomial regression analysis is a way to describe a curved relationship instead of a straight line relationship (Pati & Pati, 2021). In research, this could help explain the patterns when the line is not straight (Pati & Pati, 2021). The benefit of a polynomial regression analysis is that it helps the researcher to understand the relationship between the independent and dependent variables when the pattern does not follow a straight line (Pati & Pati, 2021). An example of this could be stress. While some stress has been shown to be beneficial in a persons life, too much stress can have an adverse effect. A polynomial regression analysis could catch this effect, while a linear regression analysis would miss it.
What is the difference between a linear, quadratic, and cubic regression analysis?
A linear regression analysis shows the relationship in a straight line (Pati & Pati, 2021). An example would be getting from point A to point B. If a person wants to get a higher test grade in a subject they are not good at, they have to spend more time studying to understand the material better.
A quadratic regression analysis shows the relationship in a u shape curve (Faith, 2024, para.1). The u can be up or down. An example would be a student who did not study for an exam and fails the exam. The student studies for the next exam and passes. In an attempt to not fail any more exams, the student starts studying excessively, becomes tired, oversleeps, and misses the exam.
A cubic regression analysis shows the relationship between the independent and the dependent variables in a up and down motion (Statology, 2025). It can go up, down, and back up again (Wisdom Library, 2025). An example would be a student wanting to do well on a midterm exam. The person studies and memorizes the material to pass the exam. After the exam, the student forgets the information. Because the final is cumulative in the students class, the student has to study the information again to pass the exam.
When looking at the SPSS output, how do you know what is the best fitting model?
From what I have learned in this class, it is the one that tells the most based on the data in the simplest fashion.
What values do you need from the SPSS output in order to report the findings in the results section in APA style?
The f value tells you if the model mattered. The p-value for f tells you if the f value was significant. The R2 value tells you the percentage. The B tells you the direction of the effect (positive or negative). The t value helps to determine whether the effect is meaningful by measuring how far away the effect is from 0, and the p value here tells the researcher whether the effect was unlikely to have occurred due to chance.
Course Reflection
Let me start with, holy cow, was this class intense! Please do not misunderstand me, I did learn, but wow. On that note, there were two parts of this class that I enjoyed. The first one was learning about mediators and moderators. That was beyond interesting and showed me that statistics can show the relationship between the independent and dependent variables and how something occurred. The second was using SPSS on a regular basis. The more I used this software, the better I got, and the more equations I had to create, the more comfortable I became interpreting them.
References
Faith, C. (2024). Quadratic Regression Model. Retrieved March 3, 2026, from
https://www.researchgate.net/publication/385492279_Quadratic_Regression_Model
Patil, S., & Patil, S. (2021). Linear with polynomial regression: Overview. International Journal of Applied Research, 7(8),
273-275.
. (2025). Cubic Regression in Excel (Step-by-Step). Retrieved March 3, 2026, from
Wisdom Library. org. (2025). Significance of Cubic Regression. Retrieved March 3, 2026, from
https://www.wisdomlib.org/concept/cubic-regression#:~:text=Cubic%20regression%2C%20as%20
defined%20in,in%20a%20non%2Dlinear%20fashion.
Colleague post 2: Polynomial regression analysis is a statistical technique used when the relationship between variables follows a curved pattern rather than a straight-line relationship. In many research situations, a simple linear regression is insufficient because the association between variables varies across levels of the independent variable. McDonald (2014) explains that curvilinear regression is appropriate when the plotted data suggest that the relationship between the predictor and outcome variables is curvilinear rather than linear. In these situations, polynomial regression allows researchers to include higher-order terms such as squared (X2) or cubed (X3) versions of the independent variable so that the model can capture nonlinear patterns in the data.
One of the major benefits of polynomial regression models is their ability to more accurately represent complex relationships that cannot be explained by linear models alone. When the true relationship between variables is nonlinear, forcing a linear model onto the data can lead to inaccurate interpretations and weaker predictive power. By incorporating polynomial terms into the regression equation, researchers can better approximate the curvature of the data and improve model fit. McDonald (2014) notes that the goodness of fit for a regression model is typically evaluated using the coefficient of determination, R2, which represents the proportion of variance in the dependent variable explained by the model. As additional polynomial terms are introduced, the model often captures additional variance because the equation becomes more flexible in describing the relationship between variables.
The primary distinction between linear, quadratic, and cubic regression models lies in the number of polynomial terms included and the shape of the relationship they represent. A linear regression model includes only the first-order term (X), producing a straight-line relationship between variables. A quadratic regression model includes an additional squared term (X2), which produces a parabolic curve in which the slope changes direction once. In contrast, a cubic regression model includes both squared and cubed terms (X2 and X3), allowing the slope to change direction twice and creating an S-shaped pattern in the data. Wuensch (2015) demonstrates that these higher-order models are evaluated sequentially, beginning with a linear model and then adding quadratic and cubic terms to determine whether each additional component significantly improves the models explanatory power.
When evaluating SPSS output to determine the best-fitting model, researchers typically examine the change in R2 when higher-order terms are added to the regression equation. Wuensch (2015) explains that although adding polynomial terms will almost always increase R2, the key question is whether the increase in explained variance is statistically significant and theoretically meaningful. In practice, the preferred model is the simplest one that provides a statistically significant improvement in fit while avoiding unnecessary complexity.
To report polynomial regression results in APA style, several values must be extracted from the SPSS output. These typically include the overall R2 value, the F statistic with its associated degrees of freedom, the significance level (p-value), and the regression coefficients for each term included in the final model. Reporting these statistics allows researchers to clearly communicate the strength of the relationship, the statistical significance of the model, and the contribution of each polynomial component to the overall equation. Together, these statistics provide the evidence needed to justify the selection of the final regression model.
Colleague post #3: Regression analysis using polynomials (or polynomial regression) is an appropriate method of analysis when there exists a non-linear relationship between two variables. Most real world data, especially in the field of Psychology, do not follow a straight-line relationship between variables. The relationship could be curvilinear or even reverse direction depending on the level of the predictor variable. By allowing for polynomial terms, specifically second-order and third-order, of the predictor variable, polynomial regression provides the ability to accurately represent the curvature of the relationship in the data rather than forcing the relationship into a straight-line model (McDonald, 2014).
There are three basic types of polynomial regression: Linear, Quadratic and Cubic. The type of polynomial regression used depends on the number of polynomial terms that are included in the equation. For example, a linear regression equation will only include the original predictor variable and assume a straight-line relationship. A quadratic regression equation will include both the original predictor variable and its square, thus allowing the regression equation to create one bend (such as a U-shape or an upside-down U-shape). A cubic regression equation will include the original predictor variable and its first and second-order terms, allowing for two bends or reversals in the relationship. To determine the most appropriate polynomial regression equation, researchers will compare the model fit of the different equations based upon the addition of the new terms. Model fit is often evaluated by determining if the additional terms add to the overall R-squared value of the model (i.e., the percentage of variance explained) and whether the additional terms are statistically significant, as indicated by an increase in R-squared of the model and/or a low probability value associated with the F-statistic (Wuensch, 2015).
When reporting polynomial regression findings in APA format, researchers need to include various statistics obtained from their SPSS output. Statistics typically required include the regression coefficient (B) and the standard error of each predictor term; the t-value and probability value (p-value) for each predictor term; and the overall model fit statistics, including the F-statistic and the degrees of freedom; the probability value associated with the F-statistic; the R-squared value (indicating the proportion of variance in the outcome variable that is explained by the predictors); and the degrees of freedom for the R-squared value. Overall, I found this course to have been very challenging but very helpful as it provided me with a greater appreciation for the relationship between statistical concepts and actual data analysis. Analyzing the SPSS output and interpreting the polynomial regression models has increased my confidence in understanding regression results and how they are presented in research studies.
References:
McDonald, J. H. (2014). Handbook of biological statistics (3rd ed.). Sparky House Publishing.
Wuensch, K. L. (2015). Polynomial regression with SPSS. East Carolina University.
In this assignment, you will begin the process of formally documenting your research proposal. Remember that the issue that you are researching should be relevant to your own fire department or the fire service as a whole. You will need to justify this. Assemble the following elements:
Your research paper must be at least five pages in length, not counting the required title and reference pages. Your professor will provide feedback prior to your final draft submission in Unit VII.
Adhere to APA Style when constructing this assignment, including in-text citations and references for all sources that are used. Please note that no abstract is needed.
Resources
The following resource(s) may help you with this assignment.
Instructions – Choose one of the following assignments to show your knowledge of Walter Mosley’s Devil in a Blue Dress and the material on Post-Reading strategies.
Please read Devil in a Blue Dress closely and pay attention to characterization, setting, how the action flows and the story line moves forward.
Use the resources of this module/unit, journal assignment, PowerPoint presentation, reading comprehension information, and perhaps do a bit of research to help you achieve success on this assignment.
1 – Create a presentation of events that occur in Mosley’s novel, including when events happened and how the events show that the novel is a mystery, meant to show how people and events must be figured out to solve a puzzle. Include a paragraph at the end of the assignment that discusses what you’ve learned about the different kinds of culture and values in Black Betty and discuss Mosley’s highly stylized writing technique. Length 4 – 6 pages. Please include a title.
2 – Using the ideas of the Post-Reading Strategies material and doing some research of your own write about the different strategies you would include if you were teaching Black Betty to mature students (ages 16 and above) , so a minimum of six detailed post-reading and/or writing activities, paired or individual assignments you would create to help students comprehend what they have read or written . Length 6 – 8 pages. Please include a title and be sure to reference all resources accurately including primary (The Primary) and secondary (critical or pedagogical) resources.
3 – Create a PowerPoint Presentation for someone who has never read Walter Mosley’s Devil in a Blue Dress. Include many aspects such as Mosley’s unique writing style, how concern for Easy’s community is displayed, characterization, Dubois’ idea of double consciousness, the meaning of symbolism, and point of view as applicable. Include a post reading strategy in the pp presentation as well. Length 10 – 20 slides. Please include a title, and be sure to reference all resources accurately including primary (The Primary) and secondary (critical or pedagogical) resources.
4 – Write a mystery, a story with many inserted clues that the reader must interpret that points out something specifically about two different kinds of cultures, your choice. Try to do what Mosley does so well in how he contrasts people, communities, events, ideas, language and creates flashbacks that give the reader more information and serve to allow the reader to understand the novel more fully. Try to not write about time creatively, perhaps not strictly linearly (beginning to end, but more circuitously (flashbacks and or flash forwards). In all of his writings, Mosley both wants to specify aspects about the black community while elevating the humanity of this same community. Remember Mosley is less a moralist than a writer who shows that individuals have many choices and his characters are less predicable as a result of the reality that people decide their fate. Some of his characters change or grow and others do not. side of life. The story or narrative should be a minimum of twelve pages long, include dialogue, and first person subjective point of view (not yours but your protagonist’s) and definitely be about a character who is working at solving a mystery, a problem, or a crime. Length 12 – 18 double spaced pages. Please include a title and include a paragraph before the story begins to describe how the process of writing this creative piece and its depth and detail has occurred.
5 – Watch a movie that has similar themes to Walter Mosley’s Devil in a Blue Dress and compare and contrast the alike (categorical) features found in Mosley’s novel to it. Writing a comparative paper would mean writing in depth about the plots, themes, moments, characters in ways that bring the highlights of both mediums out fully. Length 3 – 5 pages. Include a references or works cited entry. Please include a title, and be sure to reference all resources accurately including primary (The Primary) and secondary (critical or pedagogical) resources.
6 – Write a persuasive essay on Walter Mosley’s Devil in a Blue Dress, discussing something you believe is very important that Mosley is trying to express about community, race, friendship, family, law enforcement, corruption, cultural conflict, symbolism or another theme you believe is a prominent organizing feature, or how the shifting settings of the story accentuate its meaning. The paper should be 4 to 6 pages in length, double-spaced, titled, one inch margins, times new roman 12pt font. When using critical sources, (works cited or references required) they must be cited accurately, and integrated in your writing with parenthetical citations according to MLA or APA style.
Your paper should include the underlined items below as section headings.
APA 7th edition Title page:
Description of Pathology:
Normal anatomy of the major body system affected: In this section, you will describe what is considered normal anatomy for your particular pathophysiology. For example, if you are discussing a disease related to the brain, explain what is normal for the brain from an anatomical standpoint. You should show comprehensive knowledge of the fundamental concepts and communicate information using scientific vocabulary. There should be little to no discussion of the condition itself in this section.
Normal physiology of the major body system affected: In this section, you will be discussing physiology. Keep in mind that when describing physiology, it isnt enough to merely provide a list of functions of the body system (Ex: Neurons send signals throughout the body), instead, you need to be able to describe how it does it. The how is the physiology. There should be little to no discussion of the condition itself in this section
Mechanism of Pathophysiology: This section is likely going to be the most in-depth and longest section. In this section, you will explain your particular pathophysiology from a scientific standpoint. In the previous two sections, you explained what is considered normal, in this section, you should describe what the pathophysiology is doing that is causing these issues, how the normal anatomy & physiology is affected/different in a person with your condition. You should show a thorough understanding of the anatomical and physiological changes contributing to the disease. Some good keywords to search for when doing your research might be “Pathology of __________, Pathophysiology of __________.”
Prevention: In this section, you will explain how your pathophysiology could be prevented. This should outline possible prevention protocols, or clearly indicate if none is available based on the current scientific literature.
Treatment: In this section, you will explain how your pathophysiology is commonly treated. Provide possible treatment protocols for the condition based on current scientific literature. Be sure to bring in nursing relevant information and how you might be involved in the treatment of the condition.
Conclusion: Finally you should summarize your findings. All good research papers should include a conclusion where you wrap up and summarize all of the important points made in your paper.
References:
Attached Files (PDF/DOCX): 300 Final Project Rubric (2).docx
Note: Content extraction from these files is restricted, please review them manually.