Directors and Researchers
Todd D. Little
Todd D. Little, PhD is a Professor of Educational Psychology and Leadership and the founding Director of the Institute for Measurement, Methodology, Analysis and Policy (IMMAP) at Texas Tech University. Little has worked at the Max Planck Institute for Human Development's Center for Lifespan Studies (1991-1998),Yale University's Department of Psychology (1998-2002), and the University of Kansas (2002-2013), where he founded and directed the Center for Research Methods and Data Analysis. In 2001, Little was elected to the Society for Multivariate Experimental Psychology. In 2009, he was elected President of APA's Division 5 (Evaluation, Measurement, and Statistics). Little is a Fellow in AAAS, APA and APS. In 2009, he received the W.T. Kemper award for excellence in Teaching at KU and in 2013 he received the Cohen award for distinguished contributions to teaching and mentorship from APA's Division 5.
Jaehoon (Jason) Lee
Dr. Lee is an Assistant Professor of Educational Psychology and Leadership—Research, Evaluation, Measurement, and Statistics (REMS) program, and the co-director of IMMAP at Texas Tech University. He received his Ph.D. in Quantitative Psychology from University of Kansas. He has a broad background in methodology, with specific training and expertise in modern research design and advanced statistical methods. Dr. Lee's research interests are primarily on the development, evaluation, and application of latent variable modeling, multilevel modeling, mixture modeling, item response theory, propensity score analysis, Bayesian structural equation modeling, complex survey data analysis, and power analysis. He has served the lead methodologist on major research grants including 30+ successful proposals and +100 submissions.
Researchers and Professors
Daniel E. Bontempo
Research Assistant Professor
Daniel E. Bontempo (Ph.D The Pennsylvania State University) is a research assistant-professor in IMMAP. His research interests include latent variable measurement models and issues of measurement equivalence and harmonization, as well as random effects models for the study of individual differences. He brings broad substantive social science expertise to statistical consultation and offers colleagues innovative application of multivariate and multilevel modeling methodology. Dr. Bontempo also brings data science and advanced skills for data visualization and wrangling to the services available to IMMAP clients and collaborators.
Kwanghee Jung (Ph.D., McGill University), Assistant Professor of Educational Psychology and Research Associate in IMMAP at Texas Tech University. He has had extensive hands-on experiences with multivariate analysis (e.g., structural equation modeling, multilevel analysis, latent growth curve modeling, time series analysis). He has also contributed to the development and applications of quantitative methods and advanced modeling methodologies (e.g., generalized structured component analysis and constrained principal component analysis) to diverse issues and topics in human development and education, mental health and disorders, and brain imaging data analysis.
Charlie Rioux is a postdoctoral research fellow at IMMAP under the supervision of Dr. Little. She obtained her Ph.D. in psychology at the University of Montreal where she gained expertise in models of person-environment interactions and adolescent substance use. Her postdoctoral work, funded by the Canadian Institutes of Health Research (CIHR) and the Fonds de Recherche du Québec - Santé (FRQ-S), is on planned missing data designs for health research, with an emphasis on how to use these designs in clinical trials.