HR project - Appendix A: Key Numbers Hiring Process Hiring...

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Unformatted text preview: Appendix A: Key Numbers Hiring Process Hiring rates based on gender and race # Hired # of Applicants % Hired Male 25 197 12.7% Female 54 303 17.8% White/Non-Hispanic 69 366 18.9% African American 10 134 7.5% *Note: For the entire company, 15.8% of people are hired Average Experience Based on Gender and Race Average Experience (in yrs) Male .30 Female .48 White/Non-Hispanic .45 African American .30 *Note: For all the applicants, average experience is .412 years. Average Interview scores based on gender and race Avg. Interview Score 1 Avg. Interview Score 2 Male 3.9 4.0 Female 4.0 4.1 White/Non-Hispanic 3.9 4.0 African American 3.9 4.0 Post Hiring Initial pay, pay raise, and year 1 performance based on gender and race Initial Pay Pay Raise Year 1 Performance Score Male 7.24 $.49 4.7 Female 7.19 $.50 4.9 White/Non-Hispanic 7.21 $.50 4.6 African American 7.15 $.76 4.7 *Note: For the entire company, average initial pay is $7.20 and average pay raise is $.50. Appendix B: Four-Fifths Rule # of People Hired = 79 # of Total Applicants = 500 366 White/non-hispanic Applicants, 69 are hired 69/366 = 18.9% 134 African American Applicants, 11 are hired 10/134 = 7.4% 7.4% / 18.9% = 39.1% < 80% “Rule of Thumb” shows adverse impact towards African Americans 179 Male Applicants, 25 are hired 25/179 = 13.9% 303 Female Applicants, 54 are hired 54/303 = 17.8% 13.7% / 17.8% = 77% < 80% “Rule of Thumb” shows a slight adverse impact towards Men Appendix C: Employment By Race, Experience, Interview 1 and 2 Regression Analysis: Hired versus Interview 2, Interview 1, ... The regression equation is Hired = - 0.414 + 0.0727 Interview 2 + 0.0651 Interview 1 + 0.0617 Experience- 0.0177 Race Predictor Coef SE Coef T P Constant -0.41441 0.04883 -8.49 0.000 Interview 2 0.072695 0.009836 7.39 0.000 Interview 1 0.06510 0.01079 6.03 0.000 Experience 0.06173 0.01861 3.32 0.001 Race -0.01766 0.03172 -0.56 0.578 S = 0.306603 R-Sq = 30.0% R-Sq(adj) = 29.5% Analysis of Variance Source DF SS MS F P Regression 4 19.9854 4.9964 53.15 0.000 Residual Error 495 46.5326 0.0940 Total 499 66.5180 Source DF Seq SS Interview 2 1 14.5472 Interview 1 1 4.3666 Experience 1 1.0425 Race 1 0.0291 Residual Percent 1.0 0.5 0.0-0.5-1.0 99.9 99 90 50 10 1 0.1 Fitted Value Residual 0.8 0.4 0.0 1.0 0.5 0.0-0.5 Residual Frequency 0.8 0.6 0.4 0.2 0.0-0.2-0.4-0.6 60 45 30 15 Observation Order Residual 500 450 400 350 300 250 200 150 100 50 1 1.0 0.5 0.0-0.5 Normal Probability Plot of the Residuals...
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This note was uploaded on 10/31/2007 for the course H ADM 211 taught by Professor Sway during the Fall '07 term at Cornell University (Engineering School).

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HR project - Appendix A: Key Numbers Hiring Process Hiring...

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