Required Resources

Read/review the following resources for this activity:

• Textbook: Chapter 13
• Lesson
• Minimum of 1 scholarly source

In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).

Initial Post Instructions

If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why? If we could, what other independent variables should be included in the analysis? What statistic(s) would show the value of that regression in understanding BMI?

Alternatively, find an article that uses regression analysis to study a medical concern. In that study, what was the dependent variable and what were the independent variable(s)? Further, how would you use this study to highlight the difference between correlations and causation?

Follow-Up Post Instructions

Respond to at least one peer. Further the dialogue by providing more information and clarification.

Writing Requirements

• Minimum of 2 posts (1 initial & 1 follow-up)
• APA format for in-text citations and list of references

SOLUTION

Professor and Class,

Holmes et al (2017) assert that Regression analysis is a crucial statistical tool that helps in assessing the relationship between two or more variables. Regression analysis can be used to examine the influence of one or more independent variables on a dependent variable. As such, an analysis involving BMI, the BMI of a patient would be the dependent variable. The independent variables may include age, gender, amount of physical activity etc.

I chose an article by Lytras et al (2016) that uses regression analysis to assess the factors influencing healthcare workers to accept influenza vaccination. The flu vaccination has been proved to minimize morbidity and mortality rates, and thus the researchers in this study focused on identifying why some intervention mandates succeeded in improving vaccination rates while others failed.  In this study, the dependent variable is the flu vaccination, while the independent variables are mandatory vaccination, declination statement, incentives, increased awareness, educational interventions, and termination of staff declining the vaccination. The study revealed that mandatory vaccination was the most impactful intervention influencing healthcare workers to get the vaccination. This study focused on assessing the correlation between influenza vaccination and intervention factors influencing the rate of vaccination. From the study we can deduce that indeed there is a correlation between the mandatory vaccination as an intervention component and an increase in the vaccination rate among the healthcare workers.

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