Bianca Montrosse-Moorhead
Associate Professor - Research Methods, Measurement, and Evaluation program
Bianca Montrosse-Moorhead is an associate professor in the Neag School’s RMME program and is the program coordinator for UConn’s Graduate Certificate in Program Evaluation. As an evaluation researcher, educator, and practitioner, Montrosse-Moorhead specializes in evaluation theory, methodology, practice, and capacity building.
Email: bianca@uconn.edu
Christopher Rhoads
Associate Professor - Research Methods, Measurement and Evaluation, Educational Psychology
Christopher Rhoads is associate professor and program coordinator for the Neag School’s Research Methods, Measurement, and Evaluation (RMME) program. The program, which includes master’s and doctoral degrees, is housed in the Department of Educational Psychology. His research interests focus on methods for improving causal inference in educational research, particularly in the areas of experimental design and the analysis of multi-level data structures.
Email: christopher.rhoads@uconn.edu
Aarti P. Bellara
Assistant Professor - Research Methods, Measurement, and Evaluation program
Aarti P. Bellara is an assistant professor in the Neag School’s RMME program. Bellara specializes in assessment and measurement theory, assessment literacy, psychometrics, and propensity score modeling. Her research is multidisciplinary and focuses on examining the application of theory to practice. She currently serves as a co-principal investigator on the U.S. Department of Education-funded research grant Thinking Like Mathematicians: Challenging All Grade 3 Students.
Email: aarti.bellara@uconn.edu
Eric Loken
Associate Professor - Research Methods, Measurement, and Evaluation program
Eric Loken is an associate professor in the Neag School’s RMME program. His interests focus on latent variable models, Bayesian inference, and methods for reproducible science.
Email: eric.loken@uconn.edu
Betsy McCoach
Professor - Research Methods, Measurement, and Evaluation program, Educational Psychology
Betsy McCoach is a professor in the Neag School’s RMME program. She has extensive experience in structural equation modeling, longitudinal data analysis, hierarchical linear modeling, instrument design, and factor analysis. In addition, she is the current Director of the Data Analysis Training Institute of Connecticut (DATIC), where she teaches summer workshops in longitudinal modeling, structural equation modeling, multilevel modeling, and she is the founder and conference chair of the Modern Modeling Methods conference, held at UConn every May.
Email: betsy.mccoach@uconn.edu
H. Jane Rogers
Associate Professor - Research Methods, Measurement, and Evaluation program, Educational Psychology
H. Jane Rogers is an associate professor in the Neag School’s RMME program. Her research interests are psychometrics, quantitative methods, and research methodology.
Email: jane.rogers@uconn.edu
Hariharan Swaminathan
Professor - Research Methods, Measurement, and Evaluation program
Hariharan “Swami” Swaminathan is a professor in the Neag School’s RMME program. Swaminathan is internationally recognized for his expertise in educational measurement, and in particular, in the area of item response theory. His research interests are in the areas of Bayesian statistics, psychometrics, item response theory, and multivariate analysis, including matrix calculus, time series analysis, structural equation modeling, and hierarchical models.
Sarah D. Newton
Associate Director - Research Methods, Measurement, and Evaluation program
Sarah D. Newton is the Associate Director of Online Programs in Research Methods, Measurement, & Evaluation (RMME), as well as a Postdoctoral Research Associate in the University of Connecticut’s Department of Educational Psychology. She provides research design, measurement, data collection/management, statistical analysis/modeling, and methodological support for multiple grant-funded research projects at UConn. She also teaches various courses in research methodology and quantitative methods/analysis. She earned her PhD and MA in Educational Psychology (with an RMME concentration) at the University of Connecticut. In addition, she holds an MS in Criminal Justice and a BA in Criminology, with completed course requirements in Psychology, from Central Connecticut State University. Her methodological research interests focus on model/data fit and model adequacy as complementary tools for multilevel model evaluation and selection; information criteria performance in multilevel modeling contexts; latent variable modeling; affective instrument design; and reliability/validity theory.
Email: sarah.newton@uconn.edu