University of Connecticut University of UC Title Fallback Connecticut

Some of our current students

5th year and beyond:

Huihui YuC Huihui earned her Bachelors (1998) and Masters (2001) of Science in Electrical Engineering and worked in the telecommunications industry for six years.  After she became a parent of two, she found her passion for education and strong interests in quantitative research methods. Hui Hui’s research interests include structural equation modeling (SEM), Bayesian structural equation modeling (BSEM), multilevel modeling, and  assessment She is also very interested in the development of human intelligence and gifted identification. Her research experience includes classroom assessment, student evaluation, latent growth curve modeling (LGCM), latent class analysis (LCA), latent transition analysis (LTA), BSEM, and developing MCMC routines in R and Bugs.  Hui Hui is currently a graduate research assistant for Project VIABLE. Email:
Sarah NewtonSarah Newton Sarah works as a graduate assistant for Global Ed, where she serves as data manager. She also fulfills roles in several local, regional, and national professional organizations. At the local level, Sarah is the Secretary of the Neag Graduate Student Association (NGSA) and has served on the Neag Assessment Committee (NAC). Regionally, she is a member of the Northeastern Educational Research Association’s Graduate Student Issues Committee (NERA GSIC). Nationally, she serves as the Graduate Student Representative for the National Association of Test Directors (NATD), participates on the National Council on Measurement in Education’s (NCME) Career Contributions Committee, and is co-chairing the Division H Exhibits Booth at the annual meeting of the American Educational Research Association (AERA). Sarah’s research interests focus in instrument construction and validation, program evaluation/needs assessment, information criteria performance, and statistical modeling in a latent variable framework. Email:

Fourth year:

Danielle BousquetDanielle Bousquet Danielle earned her bachelor’s degree from Clarkson University in physics and mathematics.  She then moved to Boulder, Colorado to earn her master’s Ddegree in applied mathematics from the University of Colorado. She worked as a high school math teacher and gifted and talented coordinator at an urban charter school in Denver focused on bringing college preparatory curriculum to economically disadvantaged students for six years.  Danielle’s return to graduate school is with the hope of using quantitative research to improve policy in education.  Her research interests include gifted education, measures of teacher effectiveness, assessment, and modeling.  When she is not studying, she enjoys singing opera, photography, and hanging out with her service dog. Email:
Anthony GambinoAnthonyGambino Anthony earned his B.S. in Psychology with a minor in Mathematics at Wagner College in Staten Island, New York, and recently earned his M.A. in Educational Psychology en route to the Ph.D. in Measurement, Evaluation, and Assessment. His current academic interests include research methodology, evaluation methodology, measurement theory, structural equation modeling, meta-analysis, dyadic analysis, causal inference, Bayesian methodology, psychological assessment, and the philosophy of science. He hopes to someday become a professor of quantitative methodology in one or more of the social sciences. He also studied music theory and performance as a second minor in his undergraduate career and likes to play and write music on guitar and bass guitar in his free time. Email:
Xiaoran (Shirley) LiShirley Li Xiaoran has a B.A. in Chinese language and literature from Nanjing Normal University, China; a master’s degree in comparative literature from Nanjing Nanjing Normal University; and a master’s degree in educational psychology from the University of Connecticut. Her primary areas of research interest include foreign language anxiety, language measurement, equating and the study of DIF in cross-cultural context. Email:
Yujia LiYujia Yujia earned her master’s degree from Harvard Graduate School of Education, with a concentration in human development and psychology. She is interested in assessment, psychometric models and applying statistics to education research in general. She is originally from China and loves cooking and baking. Email:
Graham Rifenbarkgraham Graham worked for 3 years as a research assistant for the Center for Research Methods and Data Analysis at the University of Kansas, prior to joining the MEA program. In this capacity, he consulted on faculty-initiated research, and graduate student theses and dissertations on exploratory factor analysis, confirmatory factor analysis, missing data, software, and cross-sectional and longitudinal structural equation modeling. Aside from consulting, he served as the data analyst for an Institute of Education Sciences grant using the National Longitudinal Transitional Study (NLTS2) data set. His current research interests include model fit in ordinal regression when data are sparse, item response theory, structural equation modeling, and the implementation of Bayesian methods for estimation of these models. In his free time, he enjoys cycling and traveling the world. Email:
Dani Yomtov Dani received his bachelor’s and master’s degrees in psychology from California State University, Northridge. His research interests include program evaluation, methods for improving causal inference in observational data, latent variable modeling, and test theory/development. He hopes to work as an evaluator or a psychometrician for a state education agency. Email:


3rd year:

David Alexandro Dave received a bachelor’s degree from Providence College, and a bachelor’s degree in industrial engineering from Columbia University. Following his undergraduate studies, he served as a management consultant and founded an information technology consulting company before changing gears and earning a master’s degree in business education from the University of Minnesota. For the past thirteen years, Dave has been a high school teacher, coach, and administrator in Connecticut. His applied experience in a secondary school setting has inspired him to do quantitative research to inform and empower educators and students. Dave’s specific research interests include predictive analytics–which stems from his life-long fascination with statistical analysis and sports–and longitudinal data analysis. Email:
Kristen Juskiewicz Kristen received her B.A. in secondary education with a focus in the social sciences from DePaul University Honors Program in Chicago, IL in 2011. Post graduation, Kristen continued her studies to become certified in various science contents as well. Kristen began her teaching career in charter schools on Chicago’s West Side, teaching middle school science as well as high school U.S. history. Kristen also worked for Chicago Public Schools, teaching a multitude of subjects including biology and A.P. psychology.  Kristen hopes to acquire the knowledge necessary to measure, evaluate and assess the many programs in schools to determine which, if any, are truly making an impact for students. She is currently a research assistant on a NSF funded grant. In her free time, when she has any, Kristen likes to sing, paint and watch HGTV with her cat Cali Mae. Email: