NURS 8201 WEEK 4 ASSIGMENT: FREQUENCY AND DESCRIPTIVE STATISTICS 

NURS 8201 WEEK 4 ASSIGMENT: FREQUENCY AND DESCRIPTIVE STATISTICS

NURS 8201 WEEK 4 ASSIGMENT: FREQUENCY AND DESCRIPTIVE STATISTICS

TO PREPARE:

Review your research problem statement from Week 2 to develop your research question.

Review the Learning Resources on how to describe variables.

Consider the levels of measurement for your variables: nominal, ordinal, interval, or ratio.

After reviewing your research question and considering the levels of measurement, analyze your classification for each variable. What was behind your reasoning for labeling the variables? How might the data be analyzed based on these labels?

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Consider advantages and challenges that you might encounter in the statistical analysis of your proposed variables.

Post your research question and describe the independent and dependent variables. Then, identify the level of measurement of both your independent and dependent variables. Provide a brief rationale for your classification of each variable. Be specific. Explain considerations of analyzing data related to each variable based on its level of measurement. Be sure to include any advantages or challenges that you might encounter in your statistical analysis of each variable and explain why.

PLEASE SEE MY RESEARCH QUESTION FROM WEEK 2

Main Discussion post

Major depressive disorder (MDD) is a common mental health disorder that is diagnosed in patients across the lifespan. MDD is one of the leading causes of disability globally. It is linked with reduced life satisfaction, surpassing debt, divorce, and chronic medical conditions (Noetel et al., 2024). It also exacerbates comorbidities like cardiovascular diseases, anxiety disorders, and cancer. Physical exercise has been recommended as an effective complement or alternative to medications and psychotherapy.

Problem Statement: MDD is a disabling mental health condition, and many patients are at risk of developing treatment-resistant depression, which affects patient outcomes and quality of life. How can incorporating physical exercise in patients’ management plans improve their mental health outcomes and overall quality of life?

Study variables: The independent study variable is physical exercise, while the dependent variables are mental health outcomes, morbidity, and quality of life.

Hypothesis: Incorporating physical exercises in managing patients with MDD improves health outcomes and quality of life.

Ethical considerations should be factored in relation to this research problem statement. Since the research involves humans, it is essential to consider ethics like beneficence and nonmaleficence (Gray & Grove, 2020). This means that the intervention used in the research should provide greater benefit for the human subjects involved and should not compromise their safety and wellbeing.

Addressing the research problem may positively impact nursing practice change by encouraging nurses to educate patients with MDD on the importance of including physical exercise in their lifestyle. Although patients with MDD often respond well to pharmacology and psychotherapy treatments, many develop treatment-resistant depression. Physical exercise has mental health benefits and is linked with benefits in a range of physical and cognitive outcomes (Noetel et al., 2024). Therefore, addressing the problem will improve patients’ mental health outcomes and overall wellbeing.

References

Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

Noetel, M., Sanders, T., Gallardo-Gómez, D., Taylor, P., Del Pozo Cruz, B., van den Hoek, D., Smith, J. J., Mahoney, J., Spathis, J., Moresi, M., Pagano, R., Pagano, L., Vasconcellos, R., Arnott, H., Varley, B., Parker, P., Biddle, S., & Lonsdale, C. (2024). Effect of exercise for depression: systematic review and network meta-analysis of randomised controlled trials. BMJ (Clinical Research ed.), 384, e075847. https://doi.org/10.1136/bmj-2023-075847

Required Readings

Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

Chapter 21, “Introduction to Statistical Analysis” (pp. 635–651)

Chapter 22, “Using Statistics to Describe Variables” (pp. 652–662)

Chapter 26, “Interpreting Research Outcomes” (pp. 699–716)

Gholami, S., Mojen, L. K., Rassouli, M., Pahlavanzade, B., & Farahani, A. S. (2020). The predictors of postoperative pain among children based on the theory of unpleasant symptoms: A descriptive-correlational studyLinks to an external site.

. Journal of Pediatric Nursing, 55, 141–146. doi:10.1016/j.pedn.2020.08.006

Huang, J., Qi, H., Lv, K., Chen, X., Zhuang, Y., & Yang, L. (2020). Emergence delirium in elderly patients as a potential predictor of subsequent postoperative delirium: A descriptive correlational studyLinks to an external site.

. Journal of PeriAnesthesia Nursing, 35(5), 478–483. doi:10.1016/j.jopan.2019.11.009

Document: Week 4 Descriptive Statistics SPSS Output Download Week 4 Descriptive Statistics SPSS Output

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Document: CITI Program Learner Registration Guide Download CITI Program Learner Registration Guide

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THIS IS THE PROFFESSORS OVERALL FEED BACK FOR WEEK 2 DISCUSSION AND HOW SHE EXPECTS IT TO BE ANSWERED

Week 2 Discussion Board Feedback

Tammi Damas

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Hi Class,

I hope you all enjoyed your weekend. After reading your Week 2 DB posts, it appears as if there may be some misunderstanding of the concepts discussed in the post. To help clarify, I will use an example to illustrate the various concepts. For the clinical problem that African American women are more likely to die from breast cancer compared to caucasian, asian, and hispanic women.

1) Problem statement: African-American women are more likely to die from breast cancer compared to other women based on race. (This statement is explaining to you what the problem is. It does not discuss the study or the population, just the problem.)

2) Hypothesis: There is a positive relationship between race and breast cancer mortality. (The hypothesis should include the independent and dependent variables to explain the expected relationship between the variables. Because it says it is positive, that means a person’s race would have an impact on their breast cancer diagnosis outcome.)

3) Independent variable: Race of female (The independent variable is race and not African American because you are comparing all races and not one race. It does not say women who have breast cancer since the independent variable is not your study population. This variable is the variable that you think is significant enough to have an impact on your outcome variable.)

4) Dependent variable: Death due to breast cancer diagnosis (This is the variable you expect to see a change in due to the independent variable. For this example, based on a woman’s race, you expect to see different results on the outcome.)