TOTAL REWARDS IN PRACTICE- Case 4

Signature Assignment: Quantitative Reasoning, Introduced Level

In this assignment, your quantitative reasoning skills will be assessed at the “introduced” level. The Quantitative Reasoning rubric will be useful for this purpose. Then in HRM520 your quantitative reasoning skills will be further assessed at the “reinforced” level. Finally, in HRM599 your skills will be assessed at the “emphasized” level.

This assignment requires you to:

1. Complete 3 tables—one each for Health Care Costs, Absenteeism, and Presenteeism.
2. Use relevant data from the 2018 Employer Health Benefits Survey for as many table categories as possible, such as annual health care costs, health insurance premiums, annual cost increases, and so forth. Some of the data needed for the three tables are not included in the survey. For those, you have the discretion to use relevant data from other reliable sources. The article Wellness ROI versus VOI contains additional information.
3. To determine your quantitative reasoning skills, it is important you analyze, synthesize, and report your findings in a 3-page paper (not counting the title page, reference page or appendices). You do not need to complete all categories of the tables, but complete as many as possible. The basic requirement is to compile and plug-in sufficient data within each table necessary to analyze and report your findings.
4. Feel free to use the same data for each table, but you should try to use examples of data that show significant differences when calculated.

Watch the videos and use the calculators provided to calculate the possible impact on health care costs, absenteeism, and presenteeism of wellness programs. (Adobe Flash is needed to view the videos.)

Prepare three tables in Word to show the data you choose. Your tables should be set up like this:

Health Care Costs:

Health Care Costs:

Annual Health Care Costs

Annual Cost Increase

Number of Employees

% of employees obese

% that are smokers

Target percent obese

Target percent smokers

Example H1:

Example H2:

Example H3:

Absenteeism:

Absenteeism:

Annual Health Care Costs

Annual Cost Increase

Number of Employees

% of employees obese

% that are smokers

Target percent obese

Target percent smokers

Example A4:

Example A5:

Example A6:

Presenteeism:

Presenteeism:

Annual Health Care Costs

Annual Cost Increase

Number of Employees

% of employees obese

% that are smokers

% of employees 1 or more risk factor.

Target percent obese

Target percent smokers

Example P7:

Example P8:

Example P9:

Using critical thinking skills to prepare your narrative, you should summarize and analyze the data. Do not merely repeat the numbers from your tables without analyzing the findings and making recommendations for employers (and employees).

The paper you submit should include:

1. Title page
2. 3-page narrative, complete with a strong introduction and conclusion. Bring in at least two sources from the Trident Online Library as you develop the narrative. Include in-text citations following APA guidelines.
3. References page: Include your reference list on the next page that follows your narrative. List each source on the References page in APA format.
4. Appendices: Create three appendices, one each for Health Care Costs, Absenteeism, and Presenteeism. Include at least one graph to go along with each of the three tables (appendices). Refer to the specific example to which each graph belongs.

Assignment Expectations

Your submission will be evaluated using the criteria as stated in the Quantitative Reasoning rubric. The following is a review of the rubric criteria:

Critical Thinking: Expressing quantitative analysis of data (factual information) to support the discussion showing what evidence is used and how it is contextualized.

Interpretation: Explaining information presented in mathematical terms (e.g., equations, graphs, diagrams, tables, words)

Presentation: Ability to convert relevant information into various mathematical terms (e.g., equations, graphs, diagrams, tables, words)

Conclusions: Drawing appropriate conclusions based on the analysis of factual information/data.