Abstract: The Yale Measurement and Analytics Core (MAC) The quality of the data obtained from a study is inextricably linked to the quality of measurement that is used. Psychometrically sound measures improve data quality in numerous ways including ensuring that constructs are measured accurately and dependably and reducing measurement error that could impact findings. In turn, employing proper statistical methods allows us to draw meaningful and impactful conclusions from our data to further scientific knowledge. The Measurement and Analytics Core – the first of its kind – will uniquely prioritize these key aspects of scientific inquiry as a Core to ensure the integrity of the research generated by the Yale Center for the Study of Tobacco Products and directly increase its utility for informing the FDA's regulatory efforts. The MAC comprises two teams - The Measurement Team and the Analytics Team. Both teams will contribute to each of the Core's three specific aims: (1) to ensure the use of validated measures and statistical procedures across projects and pilot studies to increase the scientific rigor, interpretability, and impact of findings, (2) to develop novel psychometrically sound measures and statistical approaches to address pressing needs in Tobacco Regulatory Science, and (3) to provide training in measurement, statistics, and the use of nationally representative data (i.e., The Population Assessment of Tobacco and Health Study [PATH]) to address Tobacco Regulatory Science research questions. In addition to ensuring the quality of the science generated by our Center and advancing the measurement and statistical knowledge and actionable skills of our faculty and trainees, the MAC will widely disseminate its new measures, statistical methodology, and didactics through publications and other outlets (Coordinating Center webinars, the TRS Knowledge Center website, measurement banks like the PhenX Toolkit, NIH Toolbox®, or PROMIS®) to enhance the overall quality and impact of Tobacco Regulatory Science and to facilitate cross-TCORS collaborations. The success of the MAC will be driven by the expertise of its members. The MAC will be led by Drs. Meghan Morean and Ralitza Gueorguieva, who will lead the Measurement Team and Analytics Team, respectively. Dr. Morean is an expert in the development and psychometric evaluation of self-report measures to improve the quality of substance-related research. Of note, she developed a novel measure of e-cigarette dependence, the only e- cigarette related measure adopted into the prestigious PROMIS® measurement bank. Dr. Gueorguieva is an expert in statistical modeling, data visualization, and applying innovative statistical approaches to Tobacco Regulatory Science. She has led all statistical efforts for Yale TCORS 1.0 and 2.0 and has more than 20 years of highly productive collaborations on human lab experimental studies, clinical trials, and observational studies. The MAC also will be supported by Drs....