Quantitative Psychology: The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022

Marie Wiberg is professor in Statistics with specialty in psychometrics at Umeå University in Sweden. Her research interests include test equating, applied statistics, parametric and nonparametric item response theory, large-scale assessments and educational measurement and psychometrics in general.

Dylan Molenaar is an assistant professor at the department of psychology, University of Amsterdam. His research interests include item response theory, factor analysis, response time modeling, and modeling of intelligence test scores.

Jorge González is an associate professor at the Department of Statistics, Faculty of Mathematics, Pontificia Universidad Católica de Chile, and an associate researcher at the Millennium Nucleus on Intergenerational Mobility: From Modelling to Policy (MOVI). His research is focused on the statistical modeling of data arising from the social sciences, particularly on the fields of test theory, educational measurement and psychometrics. He has conducted research on item response theory (IRT) models, standard settings procedures, structural equation models, value-added models, test equating, identifiability in IRT models, and methods of statistical inference under both the classical and the Bayesian approach.

Jee-Seon Kim is a professor in the Department of Educational Psychology at the University of Wisconsin-Madison. Her research interests are concerned with the development and application of quantitative methods in the social and behavioral sciences, focusing on causal inference, heterogeneous treatment effects, omitted variable bias, multilevel models and clustered data analysis, latent variable and mixture modeling, and causal machine learning methods.

Heungsun Hwang is Professor of Quantitative Psychology at McGill University in Canada. His research is devoted to the development of quantitative analytics tools for examining complex relationships of various data from psychologyand other disciplines toward a better understanding of human behaviour and cognition. Methodologically, he is interested in a wide array of statistical methods in multivariate statistics, structural equation modeling, machine learning, functional data analysis, and genetic and neuroimaging data analysis.

Marie Wiberg 是瑞典烏梅奧大學的統計學教授，專長於心理測量。她的研究興趣包括測試等值、應用統計、參數與非參數項目反應理論、大規模評估以及教育測量和心理測量的一般領域。

Dylan Molenaar 是阿姆斯特丹大學心理學系的助理教授。他的研究興趣包括項目反應理論、因素分析、反應時間建模以及智力測試分數的建模。

Jorge González 是智利天主教大學數學系的副教授，並且是千禧世代跨代流動性研究中心（MOVI）的副研究員。他的研究專注於社會科學數據的統計建模，特別是在測試理論、教育測量和心理測量領域。他進行了有關項目反應理論（IRT）模型、標準設定程序、結構方程模型、增值模型、測試等值、IRT模型的可識別性以及在古典和貝葉斯方法下的統計推斷方法的研究。

Jee-Seon Kim 是威斯康辛大學麥迪遜分校教育心理學系的教授。她的研究興趣涉及社會與行為科學中定量方法的開發與應用，專注於因果推斷、異質性處理效應、遺漏變數偏誤、多層次模型和聚類數據分析、潛在變數和混合建模，以及因果機器學習方法。

Heungsun Hwang 是加拿大麥吉爾大學的定量心理學教授。他的研究致力於開發定量分析工具，以檢視來自心理學及其他學科的各種數據之間的複雜關係，以更好地理解人類行為和認知。在方法論上，他對多變量統計、結構方程建模、機器學習、功能數據分析以及基因和神經影像數據分析等各種統計方法感興趣。