Statistical study will assess the quality and utility of the EEO-1 Component 2 data for FY 2017 and 2018
EEOC voted unanimously to fund a statistical study with the National Academies of Sciences, Engineering, and Medicine’s Committee on National Statistics (CNSTAT) to conduct an independent assessment of the quality and utility of the FY 2017 and 2018 EEO-1 Component 2 data. This is not the first time CNSTAT has looked at the issue of pay data for the agency. CNSTAT reviewed methods for measuring and collecting pay information and issued a final report, “Collecting Compensation Data from Employers,” in 2012.
CNSTAT will assemble an expert panel that will be screened for potential conflicts of interest throughout the life of the committee. The panel will hold public meetings to collect input from stakeholders, representatives of organizations or interest groups and hold closed internal meetings to allow the panel to deliberate and formulate recommendations for the agency. Ultimately a final report will be sent through the National Academies’ independent review process before being released publicly.
CNSTAT members include experts in statistical and computational methods, survey research, economic, social, and demographic measurement and other relevant fields, who serve pro bono for three-year terms. Over its 47-year history, CNSTAT has released more than 270 reports, the fruit of the interdisciplinary groups of experts who provide their services as consensus panel members, workshop participants and reviewers.
“I am pleased that CNSTAT will be conducting a thorough review of the EEO-1 Component 2 data collection,” said EEOC Chair Janet Dhillon. “Not only will this independent assessment answer critical questions about the data that was collected, but will give the Commission valuable information as we consider the future of pay data collection.”
EEOC Chief Data Officer Chris Haffer said, “The expedited timeline imposed by the court prevented the EEOC from implementing standard data collection quality assurance and quality control methods. This study will allow the EEOC to get an independent assessment of the quality and utility of the data.”