Quantitative Psychology - The 85th Annual Meeting of the Psychometric Society, Virtual

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020.
The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations.
Leading experts and promising young researchers have written the included chapters. The chapters address a wide variety of topics including but not limited to item response theory, adaptive testing, Bayesian estimation, propensity scores, and cognitive diagnostic models. This volume is the 9th in a series of recent works to cover research presented at the IMPS.




Marie Wiberg is professor of statistics with a specialty in psychometrics at Umeå University, Sweden. Her research interests include test equating, applied statistics, large-scale assessments and psychometrics in general.
Dylan Molenaar is assistant professor at the department of psychology, University of Amsterdam, the Netherlands. His research interests include item response theory, factor analysis, response time modeling, mixture modeling, modeling of intelligence test data, and modeling of genotype by environmental interactions.
Jorge González is associate professor at the department of statistics, Pontificia Universidad Católica de Chile. His research interests include statistical modeling of social sciences data, particularly in the fields of educational measurement and psychometrics.
Ulf Böckenholt is the John D. Gray Chair in Marketing at the Kellogg School of Management, Northwestern University. He is interested in the development and application of statistical and psychometric methods.
Jee-Seon Kim is professor in the department of educational psychology at the University of Wisconsin-Madison. Her research interests include multilevel and hierarchical modeling, longitudinal data analysis, latent variable modeling, and causal inference with clustered observational data.