The Research Branch of the MLDS Center includes Team members on both the Baltimore and College Park campuses of the University of Maryland System. These research scholars bring a variety of knowledge and skills in education and workforce research areas as well as the most advanced statistical methods available for the analysis of longitudinal education and workforce data. The Center Research Team includes faculty as well as doctoral students; the faculty representing the highest level of scholarship within the University of Maryland while the doctoral students, by interning with the Center, are the scholars of the future in education and workforce research.
Below, we list the Center Research Team members and provide a brief biographical sketch.
Dr.Terry V., Shaw, Ph.D. is Principal Investigator of the MLDSC and Associate Professor at the University of Maryland, School of Social Work. He received his MPH and Ph.D. in Social Welfare from the University of California, Berkeley. Dr. Shaw has expertise in advanced statistical methods and extensive experience utilizing longitudinal data systems to answer questions related to service outcomes and to inform policy. Dr. Shaw is particularly interested in examining the pathways into and through child serving systems, focusing on opportunities for state systems to understand service overlaps, improve overall service delivery, and address the multiple needs of the children and families involved with these systems.
Dr. Angela K. Henneberger, Ph.D., is the Director of Research with the MLDSC and is a Research Assistant Professor at the University of Maryland School of Social Work. Dr. Henneberger’s research applies advanced quantitative methods to examine the academic, social, emotional, and behavioral development of children and adolescents, with a specific focus on the effects of family and peer relationships on development. Dr. Henneberger received her Ph.D. from the University of Virginia, and she completed a postdoctoral fellowship at the Pennsylvania State University in the Prevention and Methodology Training (PAMT) program.
Dr.Laura M. Stapleton, Ph.D., is Associate Director of Research with the MLDSC and is an Associate Professor in the Department of Human Development and Quantitative Methodology. Dr Stapleton research interests include the analysis of survey data obtained under complex sampling designs and multilevel latent variable models, including tests of mediation within a multilevel framework. Prior to earning her Ph.D. from the University of Maryland in 2001, she was an economist at the Bureau of Labor Statistics and, subsequently, conducted educational research at the American Association of State Colleges and Universities and as Associate Director of institutional research at the University of Maryland.
Dr. Mathew C. Uretsky received his Ph.D. from the University of Maryland School of Social Work in 2016. He has nearly a decade of experience as a social work practitioner and researcher working with schools, families, and community organizations to improve outcomes in underserved communities in the U.S. and internationally. Most recently his work has focused on building the capacity of state agencies to use administrative data for policy and program development. His research interests include the development and evaluation of interventions to support positive youth development. More specifically, his work examines the risk and protective factors that impact the academic and behavioral development of children and youth, with a focus on how the school and family environment influence student outcomes.
Mr. Xiaying Zheng is a third year doctoral student in the Measurement, Statistics and Evaluation program at the Department of Human Development and Quantitative Methodology, University of Maryland, College Park. His research interests include the issues and practices in advanced educational measurement models with complex sampling. Previously he worked as a program manager in a cross-cultural education organization and had experiences in institutional research for University System of Maryland.
Daniel Bonnéry is a research associate at the University of Maryland’s Joint Program in Survey Methodology (JPSM). He is also an agent on leave from the French National Institute of Statistics and Economical Studies (INSEE). Dr. Bonnéry received his PhD in Statistics from the University of Rennes 1. In addition to the INSEE he has worked for the French Ministry of Agriculture, the ENSAI (French National School of Statistics and Information Analysis), and the Toulouse School of Economics. Until March 2013 he was a member of CREST (Center for Research in Economics and Statistics). As a research associate in JPSM, in University of Maryland, his research was supported by the US Census Bureau (2013-2014) and by Nielsen (2015).
Amber Bloomfield, Ph.D., is Data Scientist at the Office of Institutional Research, Planning, and Assessment at University of Maryland, College Park. Dr. Bloomfield's research interests include data-mining, educational program assessment, and change in skills over time. Dr. Bloomfield has statistical expertise in data-mining approaches such as random forest and gradient boosted models and in latent growth and multi-level modeling. Prior to joining the IRPA office, Dr. Bloomfield worked as a research scientist at the Center for Advanced Study of Language at University of Maryland, College Park. Dr. Bloomfield received her Ph.D. in Cognitive Psychology from Northwestern University in 2005.
Yating Zheng is a second year doctoral student in Measurement, Statistics and Evaluation program in the Department of Human Development and Quantitative Methodology, University of Maryland, College Park. Her research interests include multilevel modeling, classification and large-scale assessment in educational setting. She is skilled at data analysis using the software of R, SAS and SPSS.
Heath Witzen is a fourth year doctoral student in the Economics program at University of Maryland, College Park. His research is in the field of Public Economics, with a focus on the economics of higher education. His research studies federal and state programs that are designed to increase enrollment and persistence at postsecondary institutions and examines the labor market returns to program participants.
Stacey Shipe is a 5th year PhD student at the University of Maryland School of Social Work. She has over 15 years of social work experience and has focused her current research on improving communities through mixed-methods research designs. She has spent the last eight years working with administrative data to better understand how to improve outcomes for children and families at the policy level.