The Collaboratory Replication Lab is an interdisciplinary team of faculty, staff, and students at University of Virginia and University of Maryland working towards replication science solutions.
Vivian C. Wong, Ph.D., is an Associate Professor in Research, Statistics, and Evaluation at UVA. Dr. Wong’s expertise is in improving the design, implementation, and analysis of experimental and quasi-experimental approaches. Her scholarship has focused recently on the design and analysis of replication research. Dr. Wong has authored numerous articles on research methodology in journals such as Journal of Educational and Behavioral Statistics, Journal of Policy Analysis and Management, and Psychological Methods.
e: vcw2n@virginia.edu
@viviancwong1
Principal Investigator (UVA)
e: vcw2n@virginia.edu
@viviancwong1
Website
Peter M Steiner is an Associate Professor in the Measurement, Statistics, and Evaluation (EDMS) program in the Department of Human Development and Quantitative Methodology at the University of Maryland. His research focuses on causal inference, replication, and factorial surveys. has appeared in such journals as Psychological Methods, Multivariate Behavioral Research, Journal of Educational and Behavioral Statistics, Evaluation Review, Sociological Methods & Research, Journal of Causal Inference, or the Journal of the American Statistical Association. In 2019, he received the Causality in Statistics Education Award of the American Statistical Association.
e: psteiner@umd.edu
Co-Principal Investigator
(University of Maryland)
e: psteiner@umd.edu
Website
Brian has extensive experience using data science methods in academia and the private sector. He has designed several graduate data science programs and has been teaching or conducting research using these methods for nearly ten years. Brian also currently serves as Chief Data Scientist for an educational focused consultancy and is Vice President for Data Community DC the largest data focused Meetup organization in the US with over 25 thousand members.
e: brianwright@virginia.edu
Assistant Professor in Data Science (UVA)
e: brianwright@virginia.edu
Kylie L. Anglin is a Ph.D. student in Education Policy at the University of Virginia. Her research focuses on developing and using data science approaches to examine variations in policy and intervention implementation, as well as the impact of intervention heterogeneity on student outcomes. Kylie is developing methods for using natural language processing techniques to assess treatment fidelity and replicability in intervention evaluations that take place in educational settings. She has published on methods related to causal inference, implementation, replication, and open science in the Journal of Research on Educational Effectiveness, Evaluation Review, Oxford Bibliography in Education, and Zeitschrift für Psychologie, and she is a regular presenter at APPAM, AEFP, and SREE. Prior to coming to University of Virginia, Kylie earned a B.A. in Political Science from Southwestern University, a Post-Baccalaureate in Mathematics from Northwestern University, and a Masters in Public Policy from the University of Virginia. Kylie has worked as a 7th grade English teacher and as an evaluator for an after-school program.
e: kal3nh@virginia.edu
@KylieLAnglin
PhD student in Education Policy (UVA)
e: kal3nh@virginia.edu
@KylieLAnglin
Website
Anandita Krishnamachari is a doctoral candidate in Research, Statistics and Evaluation at the University of Virginia's School of Education and Human Development. Anandita's work focuses on program evaluation and quantitative analysis. She has methodological expertise in research design, program evaluation, implementation science, and advanced quantitative methods. While her dissertation focuses on using rigorous methods to inform teacher preparation, her evaluation experience includes examining the impact of accountability policies under No Child Left Behind on student outcomes and the impact of full-day preschool on children's academic and non-academic outcomes.
Anandita has co-authored publications in Educational Researcher, Educational Evaluation and Policy Analysis and the Oxford Bibliography. In addition, she regularly presents at national conferences organized by the Association for Public Policy and Management, Association for Education and Finance Policy, American Education Research Association and the Society for Research on Educational Effectiveness.
e: ak5gw@virginia.edu
@AnanditaKC
PhD candidate in Research, Statistics, and Evaluation (UVA)
e: ak5gw@virginia.edu
@AnanditaKC
Website
Alexis Prijoles is a research specialist on the Collaboratory Replication Lab team. Alexis earned her M.Ed. in Education Psychology with a concentration in Research, Statistics, and Evaluation at the University of Virginia. Originally from South Carolina, Alexis earned her B.S. in Mathematics with a concentration in Statistics from Clemson University. She worked as a programmer analyst at a health insurance company before shifting to the field of education. Prior to joining the team, Alexis worked as a tutor for America Reads and Counts. Her research interests involve evaluating and improving the methodologies used in education research. Her work focuses on data management and infrastructure.
e: aap5du@virginia.edu
Data Manager (UVA)
e: aap5du@virginia.edu
Patrick Sheehan is a Ph.D. student in Measurement, Statistics, and Evaluation at the University of Maryland, College Park. His research interests are focused on topics related to causal inference. He is especially interested in quasi-experimental designs and alternatives to null hypothesis significance testing.
e: psheehan@terpmail.umd.edu
PhD candidate in Measurement, Statistics, and Evaluation (University of Maryland)
e: psheehan@terpmail.umd.edu
Christina Taylor, M.Ed., is the Replication Manager. She earned her M.Ed. with a concentration in research, statistics, and evaluation at the University of Virginia. Prior to joining the Collaboratory Replication team, she worked as a project manager of multiple research projects related to early childhood education policy and initiatives, pre-service teacher education, and research methodology. Taylor oversees workflow and protocol development, manages relationships with research partners, and is involved in all aspects of the pilot study.
e: mmt2hg@virginia.edu
Replication Manager (UVA)
e: mmt2hg@virginia.edu
