IMPS2023 Speakers
Steven Culpepper, University of Illinois Urbana-Champaign
Refining Hidden Markov Models for Diagnostic Research
Hong Jiao, University of Maryland, College Park
Integrating Item Product and Process Data to Enhance the Theory and Practices of Psychometric Analyses in Digital Assessments
Inhan Kang, Ohio State University
A trilogy of modeling conditional dependence in and between responses and response times
2023 Dissertation Prize
Klaas Sijtsma, Tilburg University
Who Cares about Psychometrics?
2023 Career Award for Lifetime Achievement
Gongjun Xu, University of Michigan
Identifiability of Cognitive Diagnosis Models
2023 Early Career Award
Jeff Douglas, University of Illinois Urbana-Champaign
Some dichotomies in restricted latent class models for diagnostic classification
2023 Presidential Address
Li Cai, University of California, Los Angeles, and Vector Psychometric Group, LLC
Tinkering with parametric item response theory
Kim De Roover, KU Leuven
Finding clusterwise measurement invariance with mixture multigroup factor analysis
Qiwei (Britt) He, Educational Testing Service
State of Art: Sequence Mining Methods for Process Data Exploration
Nidhi Kohli, University of Minnesota
Piecewise Random-Effects Models for Segmented Longitudinal Trends
Ed Merkle, University of Missouri
Progress and Pitfalls in Bayesian Latent Variable Models
Chun Wang, University of Washington
VEMIRT: A Family of Variational Methods for Multi-dimensional IRT Applications
