Job Evaluation Exercise-Liberty Enterprises (D)

JobEvaluationExercise-LibertyEnterprises-D.docx JOB EVALUATION EXERCISE: LIBERTY ENTERPRISES (D) Liberty Enterprises is a small government contractor of specialized engineering products. Company facilities are located in Mobile and Dothan, AL Listed below are 10 benchmark jobs and their point values derived from an internal job evaluation of positions at Liberty Enterprises using the point method. You are going to construct a “wage line” based on the job point values and market rates for the 10 jobs presented below. Job Job Points Administrative Assistant 160 Technical Writer 370 Accountant 410 Information System Manager 930 Treasurer 850 Engineering Manager 900 Mechanical Engineer 460 Purchasing Agent 350 Marketing Manager 650 Financial Analyst 430 (a) Using a total point range of 0-1400, establish 7 pay grades of 200 points each. Label the pay grades W1, W2, etc., up to W7. This data (job points) will be the X-axis of your wage line graph Pay Grade Job Points Range W1 0-200 W2 201-400 W3 401-600 W4 601-800 W5 801-1000 W6 1001-1200 W7 1201-1400 (b) Use O*NET to identify the annual median market wages for each job. This wage data will comprise the Y-axis of your pay line graph. Job Annual Median Market Wage Administrative Assistant $44,280 Technical Writer $80,050 Accountant $79,880 Information System Manager $169,510 Treasurer $156,100 Engineering Manager $165,370 Mechanical Engineer $99,510 Purchasing Agent $71,950 Marketing Manager $157,620 Financial Analyst $99,010 (c) Using Excel, SPSS, or another statistical program, determine the equation to construct a wage line representing the relationship between job points and annual median market wage for the AL data. Let “W” represent the median market wage and “P” represent the job points. The wage line will be of the form W = aP + b where “a” is the slope of the wage line and “b” is the constant (intercept of Y-axis). W= 135.29 P=22569 (d) Based on the Excel trend lines in (c), which job(s) may be misclassified? Explain why you think misclassification exists, and identify what action the company should take? (e) For each of the 5 jobs identified below (1) identify the wage grade and (2) calculate the estimated median market wage using the wage line equation for AL data. VP, Operations 1250 Marketing Coordinator 310 Field Sales Representative 550 Director, Compliance & Ethics 1050 Foreman 450 (f) Complete this exercise by submitting the answers to all the questions presented on the next two pages. Attach your Excel or SPSS graph to show how the wage line was determined. Submitted by: (a) Median Market Wages (from O*NET) Job Wage Grade Median Market Wage (U.S.) Median Market Wage (AL) Administrative Assistant W1 $44,280 $38,940 Technical Writer W2 $80,050 $79,830 Accountant W3 $79,880 $65,930 Information Systems Manager W5 $169,510 $132,840 Treasurer W5 $156,100 $134,080 Engineering Manager W5 $165,370 $158,450 Mechanical Engineer W3 $99,510 $97,050 Purchasing Agent W2 $71,950 $65,560 Marketing Manager W4 $157,620 $113,460 Financial Analyst W3 $99,010 $84,990 (b) What concern(s), if any, do you have about the market “median” wages displayed on O*NET? (c) Which two jobs show the most significant difference in the market wage between the U.S. and AL data? What factors account for these differences? (d) What is the Wage Line Equation for AL data? [W = aP + b] (e) Based on the Excel trend line for the AL data, which job(s) may be misclassified? Why? What action should the company take? (f) For this exercise, should Liberty Enterprises’ wage line be based on U.S. or AL data? Why? (g) Using the AL wage line equation, calculate the estimated median wage for each of the following jobs. [This approach is used to slot jobs for which reliable market data may not be available.] Job Wage Grade Estimated Median Wage (AL) VP, Operations Marketing Coordinator Field Sales Representative Director, Compliance and Ethics Foreman NOTE: Include with your response a copy of your original EXCEL or SPSS analysis showing the wage line graph for the Alabama data. Responses to other questions will not be accepted without the wage line graph. Wage Line Graph 160 370 410 930 850 900 460 350 650 430 38940 79830 65930 132840 134080 158450 97050 65560 113460 84990 [NOTE: O*NET annual median wages tend to be lower than those encountered in actual business organizations. For actual market pricing, salary data provided by a reputable consulting firm would be preferred. Such a survey will also reflect differences in industry, organizational size, location, etc.]