5. Suppose the statistical results show disparate impact. What
choices do we have?
You have three choices. You can amend the RIF list. We will then re-run
the statistical tests on the new list to ensure that no "two standard
deviation" problems remain. Or we can proceed to a more advanced analytical
technique (called "multiple regression') that allows us to control
statistically for differences between employees in entirely objective
characteristics, such as educational background or experience, that
may have influenced management's selection decisions. Sometimes differences
in such characteristics - rather than race or gender -- account for
the gross disparities observed. Or, finally, you can proceed with the
RIF as planned. With advance knowledge of potential problems, you have
time to document the objective business criteria on which your decisions
were based.
6. Suppose the "two standard deviation" tests show no disparate
impact. Does this mean that the RIF list would not support a disparate
treatment charge either?
No. The two charges are very different. An impact charge alleges only
adverse results. It says nothing about the firm's intentions. A disparate
treatment charge alleges discriminatory intent.
7. Can IRI determine whether the RIF list will support a disparate
treatment charge?
Yes. Though the precise statistical procedures differ, courts use
the "two standard deviation rule" to evaluate statistical evidence
in disparate treatment cases as well.
8. What about the "four-fifths rule"? Are "two standard deviation
rule" results
enough or should we also be using the "four fifths rule" to test for
adverse impact?
The Equal Employment Opportunity Commission and the Office of Federal
Contract Compliance Programs in the Department of Labor will always
regard "two standard deviation" tests as definitive. In other words,
passing or failing the "four-fifths" rule criterion for compliance
has no certain implications for
these agencies' judgment about your compliance status. Any conclusion
as to the existence of adverse impact based on "four-fifths" rule results
may be set aside by the agencies if a "two standard deviation" supports
different conclusions. And the two types of tests often do yield quite
different results.
9. What if, in spite of all our efforts, complaints of discrimination
in termination arise?
You are prepared. Prepared for settlement negotiations and prepared
to litigate. IRI will assist you at every step.
10. Does Integral review and monitor hiring practices as well as reductions
in force?
Yes, we do. Where application forms have been retained for both rejected
and hired applicants, we use them for our analysis. Applying "two standard
deviation" tests, we determine whether or not there is a statistically
significant difference between the percent protected classes represent
of those hired and the percent they represented of applicants. When
the application forms of rejected applicants have not been retained,
we must estimate the proportion protected classes represented of applicants.
To accomplish this, we do is called a "labor pool" or "labor market" analysis.
11. We'd like to know whether our performance-evaluation system has
an adverse impact on protected classes. Does Integral do that kind
of testing?
Yes, we do. And if we find adverse impact, we help you determine whether
observed disparities in performance score can be traced to differences
in objective characteristics such as level of education or years with
the company.
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