Senior Research Methodologist
Andrew Mercer is a senior research methodologist at Pew Research Center. He is an expert on nonprobability survey methods, survey nonresponse and statistical analysis, and his research focuses on methods of identifying and correcting bias in survey samples, as well as on the use of machine learning for survey data. He was a co-author of the Center’s major 2016 report on nonprobability research, and has authored blog posts and analyses explaining methodological concepts such as margin of error and oversampling. Prior to joining the Center, Mercer was a senior survey methodologist at Westat. He received a bachelor’s degree in political science from Carleton College and a master’s degree in survey methodology from the University of Maryland, where he is also in the process of obtaining his doctorate. His research has been published in Public Opinion Quarterly and the Journal of Survey Statistics and Methodology.