Combining Pay Survey and Job Evaluation Data
Combining Pay Survey and Job Evaluation Data
Return to the job evaluation scores and job structure you created for Whole Foods in the Your Turn at the end of Chapter 5. To prepare for Chapter 8, where the internal job structure is combined with external market (pay survey) data to develop actual rates of pay for jobs (a pay structure), it will be helpful for you to now begin to become familiar with pay survey data. The U.S. Bureau of Labor Statistics provides Occupational Employment Statistics. For this exercise, we will use “National Industry-Specific Occupational Employment and Wage Estimates for the Grocery Stores industry (NAICS 445100–Grocery Stores). Use the following link.76 http://www.bls.gov/oes/current/naics4_445100.htm
Look for occupations that appear to match the occupations from Whole Foods.77 As examples, consider:
11-9051 Food Service Managers
41-2011 Cashiers
43-5081 Stock Clerks
For each occupation, click on its name to show 10th, 25th, 50th (median), 75th, and 90th percentile wage levels for the occupation.
QUESTIONS: 1. What pay level (e.g., 50th or other) would you recommend be used for the Whole Foods jobs? Would you use the same pay level for all jobs? Explain.
2. How strongly do relative job evaluation points and relative survey pay correspond? For example, what is the ratio of job evaluation points you assigned to Job B (Cashier) and Job F (Team Member, Stock and Display) in the Chapter 5 Your Turn? What is the ratio of survey pay from Occupational Employment Statistics for 41-2011 Cashiers and 43-5081 Stock Clerks? Are the two ratios the same? (In Chapter 8, we will discuss why these ratios, one based on internal worth and the other based on external worth, may differ.) If these two ratios or other ratios you compute using other Whole Foods/pay survey jobs differ, which ratio (internal, based on job evaluation, or external, based on the pay survey) would you recommend be emphasized or receive priority in setting actual pay?
3. What are the limitations of the Occupational Employment Statistics data?
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