IMPS2026 Speakers
Aron Keith Barbey, University of Notre Dame
Advancing the Science and Engineering of Intelligence: From Network Neuroscience to Interventions for Precision Health
Hua-Hua Chang, Purdue University
From Asymptotic Posterior Normality to Computerized Adaptive Testing and Beyond: Innovations in Adaptive Testing and Personalized Learning Pathways
Lifetime Career Award
Yuqi Gu, Columbia University
New Statistical Frontiers in Cognitive Diagnostic Models: Deep Generative Structures, General Responses, and Tensor Unfolding
Mirka Henninger, University of Basel
Rethinking the measurement and analysis of multilevel and longitudinal data through psychometrics and machine learning
Heungsun Hwang, McGill University
Structural Equation Modeling With Both Factors and Components
Sang-Jin Kang, Yonsei University
How is the Virtuous Cycle of Knowledge Achieved Across the Spectrum of Quantitative Research
Michael T. Nettles, Morgan State University
Global Psychometric Challenges in Educational and Workforce Assessment: Policy, Technical, and Population Perspectives
Jing Ouyang, University of Hong Kong
Statistical Analysis of Large-scale Item Response Data under Measurement Non-invariance
Shiyu Wang, University of Georgia
Assembling the Diagnostic Puzzle: Multimodal Perspectives on Cognitive Diagnosis
Early Career Award
Ji Seung Yang, University of Maryland
Leveraging Regression Discontinuity Analysis with Latent Variable Models
