Some number freaks are well endowed in other abilities, but some of them are otherwise mediocre." - L.L. Thurstone
Knowing how to logically design a research study and properly analyze the gathered
data are two of the most critical knowledge tools a student can acquire during his
or her training. The Institute for Measurement, Methodology, Analysis, and Policy at
Texas Tech University are dedicated to the complementary missions of (a) training
students at both the Undergraduate and Graduate levels in state-of-the-science methodology
and data analysis and (b) providing best-practice support to students, staff, and
faculty in the conduct of their research. These pages provide a portal to our quantitative
training and support resources. On the side bar, you'll find information about the
center and our training programs, including the new social and behavioral sciences
methodology minor for undergraduates, our graduate training program, and our very
popular summer institutes on advanced methods (affectionately referred to as the TTU
'Stats Camps'). You'll also find ample resources for support of your quantitative
needs, including our friendly and useful TTU tools, TTU guides, and TTU links.
We encourage you to join our announcement list serve (Methods-L) so you can be informed of events and talks related to methodology. Specifically, Methods-L is an announcement list whereby we periodically inform the TTU community about methodology related events or activities that may be of broad interest to researchers at TTU. For more information on how to join the Methods-L list serve (or any TTU list serve) click here.
Todd D. Little named AAAS Fellow
The world's largest general scientific society, the American Association for the Advancement of Science, has named Todd D. Little, director of the Institute for Measurement, Methodology, Analysis, & Policy (IMMAP) and professor in the Department of Educational Psychology, as a 2012 AAAS Fellow
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.educ.ttu.edu) 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. He organizes and teaches in the internationally renowned "Stats Camps" each June (see statscamp.org for details). 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.
Dr. Eugene Wang is an Associate Professor in Educational Psychology, and serves as its Program Coordinator. He is also the Associate Director of the Institute for Measurement, Methodology, Analysis, and Policy (IMMAP). He received his Bachelor's and Master's degrees in Psychology from East Texas State University and his Ph.D. in Psychology from Texas A&M-Commerce. His research areas have a broad focus on individuals with emotional and behavioral disorders, assessment of risk (particularly violence risk), and strategies for reducing interpersonal violence. He is particularly interested in implementation of positive behavioral interventions and supports (PBIS) in at-risk populations, such as incarcerated youth.
Jaehoon (Jason) Lee
Dr. Lee is the Research Associate Professor and Associate Director of the Institute for Measurement, Methodology, Analysis, and Policy (IMMAP) at the Texas Tech University. He is also the head of Biostatistics Collaborative in IMMAP. He received his Ph.D. from the University of Kansas. His research interests are primarily in the evaluations and applications of latent variable modeling, multilevel modeling, mixture modeling, item response theory, propensity score analysis, survey data analysis, and Bayesian statistics. His recent research investigates the performance of multilevel confirmatory factor analysis, and Bayesian mixture modeling with regard to the choice of prior distributions. He has provided design and statistical consultation on major research grants including over 15 successful proposals and +30 submissions.
Dr. Adams is the Assistant Director for Program Evaluation for the Institute for Measurement, Methodology, Analysis, and Policy (IMMAP) at Texas Tech University. She is also a member of Graduate Faculty for the College of Education. Dr. Adams (née Gilinsky) received her Ph.D. from Texas Tech University in Educational Psychology in 2010. Her research interests are in quantitative methodologies applied to analyzing relations between physical activity and academic outcomes as well as other health-related topics. She has also held positions in both institutional effectiveness and student affairs in higher education.