Elections are taking place now until Friday, November 16th (5:00 p.m., PST). Voting is online and will require members to log in.
The members of the Society have nominated the following candidates:
is a Professor in Social Statistics at the London School of Economics and Political Science and was Head of the Statistics Department from 2010-2012. She was awarded her PhD in 1996. Her main research interests are latent variable models, structural equation models, analysis of categorical data, methods of estimation, goodness-of-fit, detection of outliers and missing values. She has co-authored books on latent variable models and multivariate data analysis, published many methodological and applied papers and served as an associate editor and editorial member for a number of journals including Computational Statistics and Data Analysis, Structural Equation Modelling and the Journal of Educational and Behavioural Statistics. She has taught postgraduate courses on multivariate and multilevel analysis and run professional short courses in UK and abroad. She is a member of the Technical Advisory Group of the Program for the International Assessment of Adult competencies I and II of the OECD. She has been an Honorary Professor in the Department of Psychological Studies at The Hong Kong Institute of Education from July 2015-August 2018. She received an honorary doctorate in Social Sciences from the University of Uppsala in January 2014 and elected the Executive Editor of Psychometrika in November 2014. http://stats.lse.ac.uk/moustaki/
ACT Senior Vice President, Alina von Davier, PhD
., 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 about 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:
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.
is Professor at the department of Research Methodology, Measurement and Data Analysis at the University of Twente (The Netherlands). He is an internationally appraised specialist on Bayesian psychometric models for clustered data and Bayesian response models for large-scale survey data. His early work was awarded with the International Psychometric Society Dissertation Award (2001). He acquired prestigious funding for his research with a VENI (2004) and VIDI (2007) grant from the Netherlands Organization for Scientific Research NWO. Fox published a highly acclaimed monograph on Bayesian Item Response Modeling (Springer, 2010) that attracted worldwide attention. He is associate editor of two flagship methodological journals (British Journal of Mathematical and Statistical Psychology and Journal of Educational and Behavioral Statistics). He is a member of the (NWO) advisory board of the Netherlands Organization for Scientific Research.
Peter F. Halpin
is an Associate Professor of Quantitative Methods in the School of Education at the University of North Carolina. I have been an active member of the Psychometric Society since I was a PhD student, having regularly attended our annual meetings and publishing in both the ARCS and TM sections of Psychometrika over the past decade. Having studied and worked in Canada, the Netherlands, and the United States, I deeply value the international scope of the Society and consider this to be one of our main strengths. For over 80 years, the Society and its publications have consistently embodied high intellectual standards, while remaining open to new ideas and perspectives. By serving on the Board of Trustees, I would like to help this tradition continue.
received his doctorate degree in 2001 from the Department of Statistics at Iowa State University and is currently employed as a Principal Research Scientist at Educational Testing Service. He was an editor of the Journal of Educational and Behavioral Statistics between 2010 and 2014 and a program chair of the annual meeting of the National Council on Measurement in Education (NCME) in 2011. Over the course of his career, Dr. Sinharay has won multiple NCME awards including the Bradley Hanson Award in 2018, the Award for Outstanding Technical or Scientific Contribution to the Field of Educational measurement in 2015 and 2009, and the Jason Millman Promising Measurement Scholar Award in 2006. He is the joint editor of two books including the volume on Psychometrics of the Handbook of Statistics series, and has authored more than 100 research articles in peer-reviewed journals in educational and psychological measurement and statistics. His research interests include Bayesian statistics, detection of test fraud, missing data analysis, model checking and model selection methods, and reporting of diagnostic scores.
Katrijn Van Deun
(1975, Belgium) received her Master's degree in psychology (1998), her Advanced Studies Master of Statistics and Academic Teachers Degree (1999), and PhD degree (2005) on a psychometric dissertation with title 'Degeneracies in Multidimensional Unfolding' (supervisors: Luc Delbeke, Patrick J.F. Groenen, and Willem J. Heiser) from the KU Leuven (Belgium). She worked several years as a postdoc in the Research group on Quantitative Psychology on topics related to dimension reduction, data integration, variable selection, and computational biology. In 2014 she became an Assistant Professor at the department of Methodology & Statistics at Tilburg University and is there Associate Professor since 2016. From the Netherlands Organization for Scientific Research (NWO) she obtained an Aspasia grant (200k Euro) in 2015 and a Vidi grant (800k) in 2016. Her research focuses on the development of regularized dimension reduction methods for (ultra-)high-dimensional multiblock data.
Candidates for Editorial Council
The Editorial Council has nominated the following candidates:
Denny Borsboom is Professor of Psychological Methods at the University of Amsterdam. His work has focused on conceptual analyses of psychometric models, the measurement problem in psychology, and on substantive psychological research in a number of domains, including intelligence, personality, and psychopathology. He is the founder of the Psychosystems project (www.psychosystems.org), which is dedicated to the development of network approaches to psychometric problems, including the construction of statistical models and formalized psychological theories.
is an Associate Professor in the Department of Statistics at Columbia University. He holds a Ph.D. in Statistics from Harvard University. He is the recipient of 2018 Early Career Award given by the Psychometric Society, 2013 Tweedie New Researcher Award given by the Institute of Mathematical Statistics, and a recipient of the 2009 Best Publication in Applied Probability Award given by the INFORMS Applied Probability Society. He has research interests in statistics, psychometrics, applied probability, and Monte Carlo methods. He currently serves on the editorial board of Psychometrika, British Journal of Mathematical and Statistical Psychology, Journal of Applied Probability/Advances in Applied Probability, Extremes, Operations Research Letters, and STAT.