ANOVAS (and their nonparametric equivalents) are a comparative analysis group that allows researchers to compare three or more independent variables at a time without increasing the margin of statistical error. The biggest way I could see ANOVAS used are if a researcher is looking for possible disparities from a topic. For example, which ethnicity has the most incidence for hypertension within a geographical area or healthcare facility?

The diagnosis of hypertension would be an independent variable with two levels (yes/no). The ethnicity groups would be used as our dependent variable with three or more variable levels (Caucasian, African American, Hispanic, Native America etc). In using the ANOVA test (or their non-parametric equivalents) researchers would be able to identify groups that are at risk for disparities and begin to work to intervene.

The effectiveness of the interventions could also be evaluated by ANOVA tests as well, as they can be used in pre-test/post-test study designs as well. ANOVA has been shown to be fairly robust (Kellar & Kline, 2013). Even if the variables do not rigidly adhere to the assumptions required for the test, the results may still be close to the truth (Kellar & Kline, 2013).

 

1. What is the difference between a t-test and an ANOVA?
2. What does “homogeneity of variance” mean in relation to conducting a one-way ANOVA? Why do we want a high p-value for Levene’s test?
3. What is the difference between a Kruskal-Wallis test, a Friedman’s test, and the McNemar’s test? Under what conditions would you use each of these tests? How are these tests all similar? What do they all have in common?

Prompted in part by the ideas presented for the technology innovation project, the Human Resources Committee of the Board of Directors has become increasingly concerned about the ability to identify, recruit, and retain the appropriate skill mix for the organization.

The CEO has designated an interdisciplinary team and asked it to prepare an analysis of current trends and their impact on the organization’s human resources in 2025. More specifically, the CEO relays that the Board Chair has expressed concern about workforce shortages in such key areas as nursing, medical technology, and long-term care.

1) Identifies and discusses the macro-trends affecting the health workforce in Washington, DC, the future of the US healthcare system, including such aspects as the overall economy, demographics, personal lifestyles and behaviors, technology (including biotechnology and smartphones), and federal and state government policies. Note that these factors are neither exhaustive nor are they offered as a mandatory framework; your research will identify macro-trends relevant to your findings.

2) Using the above analysis, identify current and projected occupational shortages for your selected region, efforts to address these shortages, and your recommendations for a solution. Be sure to explicitly link each aspect with the specific trends identified in your analysis.

After you have completed the assigned readings and viewed the assigned videos, write a 500-750 word paper that addresses quantitative methods of inquiry. Use the data provided in the Topic Material, “H Cup State Inpatient Databases (SID) File Composition – Number of Discharges by Year,” and appropriate statistics to address the following:

Describe the different quantitative methods of inquiry.
Describe the mean, median, and mode of discharges by the state in 2014.
Compare the number of discharges in 2010, 2012, and 2015 in all states. Are there significantly more discharges in 2015 versus 2010 in all states?
Compare the number of discharges in 2011 in northwestern states (Washington, Oregon, Idaho, Montana, Wyoming), southwestern states (California, Nevada, Utah, Arizona, New Mexico, Oklahoma, and Texas), central states (North Dakota, South Dakota, Nebraska, Kansas, Missouri, Iowa, Minnesota, Wisconsin, Illinois), southeastern states (West Virginia, Virginia, North Carolina, South Carolina, Georgia, and Florida), and northeastern states (Maine, Vermont, New Hampshire, Massachusetts, Rhode Island, Connecticut, Washington D.C., New York, New Jersey, Pennsylvania, Delaware, and Maryland).
Summary of the paper.
View:

Clankie, S., & Mima, T. (2012). A brief comparison of qualitative and quantitative research methods [Video file].

URL:

Smcilquham. (2012). Quantitative vs qualitative research [Video file].

URL:

Healthcare Cost and Utilization Project. (2017). HCUP state inpatient databases (SID) file composition – number of discharges by year.

URL:
https://hcup-us.ahrq.gov/db/state/siddist/siddist_discharge.jsp
Read Chapter 12 in:

Flick, U. (2014). The SAGE handbook of qualitative data analysis. London, UK: SAGE. doi: 10.4135/9781446282243
References no older than 5 years
This is a nursing data analysis course.
Use subtitles for each portion of the paper.
This course uses use the SPSS program. SPSS makes it easy to analyze data using specific tests. This assignment will give you practice with means, medians, and modes.

Government’s Role in Adult Health

Thomas Frieden is the former Commissioner of New York City’s Department of Health and Mental Hygiene (DOHMH), under Mayor Bloomberg, and former Director of the Centers for Disease Control (CDC) under President Obama. After you read his article: https://www.nejm.org/doi/full/10.1056/NEJMp1303819, what distinction he makes between government actions to:

1) promote free and open information
2) protect individuals from harm caused by others
3) take societal action to protect and promote health

What do you think of the arguments in favor and opposed to controversial government actions to regulate the behavior of adults and to pursue interventions to protect and promote health?