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Disparate Impact:  What Do the Statistics Mean?

   

Added on  2019-09-20

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DISCUSSION QUESTION TO ANSWER;Review the Chapter 2 Application"Disparate Impact: What Do the Statistics Mean?"starting at the bottom of page 85. As stated in question #2, what do you recommend regarding standards or guidelines for deciding whether statistical differences reflect discrimination?THE BELOW PARAGRAPH HIGHLIGHTED IN YELLOW WAS TAKEN FROM THE TEXT REGARDING DISPARATE IMPACTDisparate Impact. Disparate impact, also known as adverse impact, focuses on the effect of employment practices, rather than on the motive or intent underlying them. Accordingly, the emphasis here is on the need for direct evidence that, as a result of a protected characteristic, people are being adversely affected by a prac-tice. Statistical evidence must be presented to support a claim of adverse impact. 15 Three types of statistical evidence may be used, and these are shown in Exhibit 2.5. Refer to “Legal Issues” in Chapters 3 and 7 for elaboration.Shown first in the exhibit are applicant flow statistics, which look at differences in selection rates (proportion of applicants hired) among different groups for a particu-lar job. If the differences are large enough, this suggests that the effect of the selec-tion system is discriminatory. In the example, the selection rate for men is .50 (or 50%) and for women it is .11 (or 11%), suggesting the possibility of discrimination.A second type of statistical evidence involves the use of stock statistics. Here, the percentage of women or minorities actually employed in a job category is com-pared with their availability in the relevant population. Relevant is defined in terms of such things as “qualified,” “interested,” or “geographic.” In the example shown, there is a disparity in the percentage of minorities employed (10%) compared with their availability (30%), which suggests their underutilization.The third type of evidence involves the use of concentration statistics. Here, the percentages of women or minorities in various job categories are compared to see if they are concentrated in certain workforce categories. In the example shown, women are concentrated in clerical jobs (97%), men are concentrated in production (85%) and managerial (95%) jobs, and men and women are roughly equally concentrated in sales jobs (45% and 55%, respectively).Copyright | McGraw-Hill Higher Education | Staffing Organizations | Edition 8 | Printed from www.chegg.com
Disparate Impact:  What Do the Statistics Mean?_1

THE SCREEN SHOT OF THE EXHIBIT BELOW IS THE EXHIBIT THE PROFESSOR IS REFERING TO FORMULATE OUR OPINION ON REGARDING DATA THEREIN.EXHIBIT 2-5 (AS STATED IN TEXT BOOK)
Disparate Impact:  What Do the Statistics Mean?_2

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