Elections for 2020

Elections are taking place now until Friday, November 15th (5:00 p.m., PST). Voting is online and will require members to log in.

Presidential Candidates

The members of the Society have nominated the following candidates:

Jeff Douglas is a Professor of Statistics at the University of Illinois. His primary research area is in latent variable modeling with applications in educational testing, psychological assessment and health quality of life. In particular, he has contributed to the fields of nonparametric item response theory, establishing theory for estimation and model identification,  and developing applications such as equating and model fit analysis. His work in cognitive diagnosis includes methods and theory for nonparametric classification, person fit analysis, and most recently models for learning and techniques for detection of learning. He has contributed to the literature on joint modeling of item responses and waiting times, with applications in both educational testing and health quality of life.  Professor Douglas' work has been supported by the National Institute of Health and the National Science Foundation. He has served on the editorial boards of Psychometrika, the Journal of Educational and Behavioral Statistics and Statistics and its Interface.

Alina von Davier, ACT Senior Vice President, leads the innovation unit ACTNext. Her team is comprised of experts in fields ranging from psychometrics and learning sciences to software development, and artificial intelligence. Von Davier’s own work is at the forefront of Computational Psychometrics, a term she coined in 2015 to define an emerging interdisciplinary field concerned with the application of theoretical and data-driven methods for multimodal, large scale/high dimensional learning and assessment data. Her current research interests involve developing methodologies for learning in virtual environments that allow for collaboration using techniques incorporating machine learning, data mining, Bayesian inference methods, and stochastic processes.

Two publications, a co-edited volume on Computerized Multistage Testing (2014) and an edited volume on test equating, Statistical Models for Test Equating, Scaling, and Linking (2011) were selected as the winners of the Division D Significant Contribution to Educational Measurement and Research Methodology award by the American Educational Research Association (AERA). 

Additionally, she has written and/or co-edited five other books and nearly 100 peer-reviewed papers on psychometrics. She has been awarded grants as a Principal Investigator from the National Science Foundation, the Spencer Foundation, the MacArthur Foundation, the US Army Medical Research, and the Army Research Institute.


Candidates for Board of Trustees

The Board of Trustees has nominated the following candidates:


Jimmy de la Torre is Professor at the Faculty of Education of The University of Hong Kong. Prior to this, he was at Rutgers, The State University of New Jersey for 13 years. Jimmy’s primary research interests include item response theory, cognitive diagnosis modeling, and the use of assessments to inform instruction and learning. Jimmy was former editor-in-chief of the Journal of Educational Measurement and was a member of the Psychometric Society Board of Trustees from 2015-2018. As part of his mentorship endeavors, he has spearheaded a number of Psychometric Society meeting activities that specifically target the needs of graduate students and early-career scholars. He has conducted more than three dozen workshops on cognitive diagnosis modeling in 14 countries and four continents. Over the years, Jimmy has supervised graduate students and postgraduate researchers from Canada, China, Costa Rica, Hong Kong, Iran, Spain, the Philippines, Taiwan, Turkey, and the USA.
Duanli Yan is a Director of Data Analysis and Computational Research in the Psychometrics, Statistics, and Data Sciences area at the Educational Testing Service, and an Adjunct Professor at Rutgers University and Fordham University. She holds a Ph.D. in Psychometrics from Fordham University, dual Maters from Penn State University in Statistics and Operations Research. During her tenure at ETS, Dr. Yan has been a psychometrician coordinating several operational programs and a development scientist for innovative research applications. Currently, she is leading the automated scoring systems evaluations and analyses. She has offered numerous number of training sessions including annual NCME tutorials based on her books, and many invited keynote speeches, as well as IMPS symposia and workshops. She is actively serving on several committees for Psychometric society and for AERA and NCME, and is the board secretary for IACAT. She is a co-author of Bayesian Networks in Educational Assessment and Computerized Adaptive and Multistage Testing with R, editor for Practical Issues and Solutions for Computerized Multistage Testing, and co-editor for Computerized Multistage Testing: Theory and Applications and for Handbook of Automated Scoring: Theory into Practice. Her awards include the 2011 ETS Presidential Award, 2013 NCME Brenda Loyd Outstanding Dissertation Award, 2015 IACAT Early Career Award, and 2016 AERA’s Significant Contribution to Educational Measurement and Research Methodology Award. As an energetic and passionate psychometrician, researcher, innovative developer, professor, and director, she would like to contribute her energy, knowledge, and experiences to serve on Psychometric Society’s Board of Trustees to further its missions in advancing the science and practice of psychometric research and applications, to attract and train more people in the community, and to continue to promote and increase IMPS recognition internationally for its continued success as the world leader in the field.
Minjeong Jeon is an Associate Professor of Advanced Quantitative Methods at the UCLA department of Education. She obtained her Ph.D in Quantitative Methods from UC Berkeley in 2012. Currently, she is leading the curriculum development for UCLA’s new undergraduate education major. Her vision is to incorporate  measurement and psychometrics into UCLA’s undergraduate education. As a psychometrician, her research revolves around developing, applying, and estimating a variety of latent variable models for studying measurement and growth. She is an (co)author of four software packages and has published over 50 papers in major methodology and substantive peer-review journals. She is a winner of NCME dissertation award and a recipient of three early career awards given by NCME, AERA, and APA. Recently, she has been recognized as a future female leader by Yonsei University. She has served as a reviewer for over 25 peer-review journals and currently serves as an Associate Editor for Psychometrika and Journal of Educational and Behavioral Statistics and an editorial board member of Journal of Educational Measurement. As an active member of Psychometric Society since 2007, she has published several papers in Psychometrika, while giving a number of talks at paper, poster, and symposium sessions. She served on the reviewer panel for the 2017 IMPS travel awards and has recently been recognized as an invited speaker for the 2020 IMPS meeting. As a Board of Trustees member, she hopes to contribute to the Psychometric Society to promote its mission and recognition to the international psychometrics community.

Carl Falk is an assistant professor of Quantitative Psychology and Modeling in the Department of Psychology, McGill University, Montréal, Canada. His work focuses on the development, computer programming, and evaluation of latent variable models with applications in the social sciences (e.g., psychology, education, health outcomes). This work spans item response theory and structural equation modeling, with recent examples focusing on the modeling of response styles and semi/non-parametric item response models. Carl has presented at Psychometric Society meetings - his favorite conference to attend - since 2011, has published in Psychometrika and the IMPS proceedings, and regularly serves as reviewer. Due in part to a past life in developing databases and web applications, Carl has most recently been active on the communications committee and its role in managing the Society website. He hopes to continue to contribute to the smooth functioning of the Society as a new member of the Board of Trustees.



Candidates for Editorial Council

The Editorial Council has nominated the following candidates:


David Kaplan is the Patricia Busk Professor of Quantitative Methods in the Department of Educational Psychology at the University of Wisconsin – Madison. Dr. Kaplan holds affiliate appointments in the University of Wisconsin’s Department of Population Health Sciences and the Center for Demography and Ecology.  Dr. Kaplan’s program of research focuses on the development of Bayesian statistical methods for education research. His work on these topics is directed toward applications to large-scale cross-sectional and longitudinal survey designs.  Dr. Kaplan is an elected member of the National Academy of Education, a recipient of the Samuel J. Messick Distinguished Scientific Contributions Award from the American Psychological Association (Division 5), a past-President of the Society for Multivariate Experimental Psychology, a fellow of the American Psychological Association (Division 5), a recipient of the Alexander Von Humboldt Research Award, an Honorary Research Fellow in the Department of Education at the University of Oxford., a fellow of the Leibniz Institute for Educational Research and Information, and was a Jeanne Griffith Fellow at the National Center for Education Statistics.  Dr. Kaplan received his Ph.D. in education from UCLA in 1987.

Klaas Sijtsma obtained his master’s degree in psychology and statistics and measurement theory and his PhD in psychometrics at the University of Groningen, The Netherlands. He was affiliated as a methodologist at the University of Groningen, the Vrije Universiteit Amsterdam, Utrecht University, and since 1997 he is a full professor of methods and techniques of psychological research at Tilburg University.

He published more than 200 articles and chapters on methodological and statistical topics, mainly in the area of psychometrics. Together with Pieter Drenth he published the textbook “Test theory” (1990, 2006; Springer), and with Ivo Molenaar he published a monograph on nonparametric item response theory (2002, Sage). With Andries van der Ark, he intends to publish a monograph on measurement models for psychological attributes, which will provide an anthology of older, current, and promising psychometric models for the measurement of individual differences, planned for publication in early 2020 with CRC Chapman & Hall.

Sijtsma was chair of the Dutch Committee on Tests and Testing (COTAN, 2005-2010; working under the auspices of the Netherlands Association for Psychologists, NIP), President of the Psychometric Society (2010-2011), and Dean of Tilburg School of Social and Behavioral Sciences (2011-2017). He is a member of the Supervisory Board of CITO Institute of Educational Measurement, Arnhem, The Netherlands (2009-present).