Employment expert witness discusses racial discrimination during hiring process

ByMichael Morgenstern

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Updated on

Employment expert witness discusses racial discrimination during hiring process

An employment expert witness analyzes applicants’ demographic data to determine racial discrimination. This labor relations case involves an African American job applicant who alleges that a computer company and the businesses it hired to find suitable employees had a blanket policy to deny employment to applicants with criminal records. This practice of conducting background checks and the policy of non-referral adversely affected minority applicants, he asserts. The company consistently failed to refer minority applicants for positions for which they were qualified.

The plaintiff applied to the employment agencies contracted by the computer company. A criminal background check later revealed that the applicant had been convicted of driving violations, theft and assault and that he had lied on his job applications by denying any criminal record. One of the hiring companies referred the applicant for the job, the other did not. He was not interviewed or hired.

Question(s) For Expert Witness

What data supports the plaintiff’s discrimination and disparate impact claims?

Expert Witness Response

inline imageA careful review of applicants’ demographic data from the employment agency covering several years indicated that African American applicants were half as likely as similarly-situated white applicants to be recommended for employment. The analysis reflected a significant pattern of racial discrimination among African American applicants. This data supports the plaintiff’s claim that the criminal background check had a disparate impact on minority applicants.

About the author

Michael Morgenstern

Michael Morgenstern

Michael is Senior Vice President of Marketing at The Expert Institute. Michael oversees every aspect of The Expert Institute’s marketing strategy including SEO, PPC, marketing automation, email marketing, content development, analytics, and branding.

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