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DCI has provided expert solutions to hundreds of federal contractors on the complex issues of Equal Employment Opportunity (EEO) compliance. DCI's consulting staff are recognized experts in systemic compensation discrimination analyses, affirmative action plan development and implementation, employee selection and test validation, and OFCCP audit and litigation support. DCI's consulting staff hold graduate degrees in the fields of Organizational and Industrial Psychology. Following industry proven and government recognized methods, our consultants help alleviate our clients' burden of preparing advanced, statistically driven analyses. The expert staff at DCI safeguard corporate reputations and finances with guidance and software-enabled solutions using a quantitative and rational analysis of advanced statistical practices.
The expertise available to your organization will ensure your EEO compliance needs are well met reducing your risk in this critical area. DCI is committed to your ultimate success and looks forward to having your company as a valued client.

News

Obama targets gender pay gap with plan to collect companies’ salary data

In a Washington Post article on Friday, January 29th, 2016, David Cohen discusses the EEOC’s proposed Equal Pay Report.

Recent Blog Posts

Practical versus Statistical Significance

In our previous blog on the topic of statistical significance, we discussed how to interpret the meaning of “statistically significant.”  In this blog, we want to expand on the topic by discussing the difference between statistical and practical significance.

As mentioned in the previous blog, when a group difference is statistically significant, it only indicates that it is unlikely, but not impossible, that the difference occurred by chance.  A larger standard deviation is not an indication of the magnitude of the group difference. However, it is an indicator of the probability that the difference observed may not be due to chance.

Because the values of many statistical tests are driven in part by sample

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