Dr. Herb Turner is an Adjunct Associate Professor at the University of Pennsylvania Graduate School of Education’s Quantitative Methods Division, where he teaches graduate-level courses in statistics and statistical programming. He has over 30 years of experience conducting empirical investigations consistent with scientifically valid research in education and related areas. Dr. Turner is Founder, President, and Principal Scientist of ANALYTICA, Inc., a woman-owned and minority-led small business that specializes in using scientifically-valid research methods to address policy-relevant education problems. During the past decade, he contributed to innovative and cutting-edge initiatives designed to transform education research into an evidence-based, scientifically valid field. These initiatives include the Campbell Collaboration (C2); the What Works Clearinghouse (WWC); the Regional Educational Laboratory (REL) Program; and most recently the Investing in Innovation (i3) program and the Social Innovation Fund (SIF).
Dr. Turner is a member of the Abt i3 Technical Assistance Leadership team responsible for assisting i3 grantees with producing experimental and quasi-experimental impact evaluations that meet i3 and WWC evidence standards. He also serves a Senior Policy Research Advisor to several universities and research firms, including the Buffett Early Childhood Institute at the University of Nebraska, Center for Responsive Schools, and Westat. Dr. Turner is WWC certified reviewer and routinely conducts WWC quick reviews and single-study reviews for the Department of Education. He is also a standing member of the Reading, Writing, and Language Development review panel for Institute for Education Sciences. He recently served as a discussion panelist for the NSF-funded Technical Evaluation Assistance in Mathematics and Science (TEAMS) project webinar entitled Establishing Comparison Groups.
Dr. Turner continues to publish in peer-reviewed journals on randomized trials, systematic reviews, standards for impact evaluations, meta-analysis, and other related topics. He is a member of the IES Peer Review Panel for Reading, Writing, and Language Development, and teaches courses on statistical programming and statistical analysis.